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Peer-Review Record

IoT-Based Big Data Secure Transmission and Management over Cloud System: A Healthcare Digital Twin Scenario

Appl. Sci. 2023, 13(16), 9165; https://doi.org/10.3390/app13169165
by Christos L. Stergiou *, Maria P. Koidou and Konstantinos E. Psannis *
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3:
Reviewer 4:
Appl. Sci. 2023, 13(16), 9165; https://doi.org/10.3390/app13169165
Submission received: 14 March 2023 / Revised: 5 August 2023 / Accepted: 8 August 2023 / Published: 11 August 2023
(This article belongs to the Special Issue Application of Data Analytics in Smart Healthcare)

Round 1

Reviewer 1 Report (New Reviewer)

The authors raise an interesting topic related to IoT and in this particular case in healthcare applications.
In the Introduction, the authors clearly show the reason for their research, broadly referring to other works, other teams, thus demonstrating the importance of the topic.
The next chapter is a presentation, a list of other works on this subject. This has been shown attractively in tabular form. This certainly makes it easier for the reader to systematize and analyze it.
Chapter 3 raises my doubts. Each of the subsections is extremely short. In my opinion, either combine them or develop each of them.
I don't have much to say about the next chapter. Clearly presented.
Chapter 6 raises my doubts. It is in fact a presentation of the authors' research results. Without belittling the importance of their work, I think that this chapter should be refined and extended so that it would be able to better show good research work.

Author Response

Dear reviewer:

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report (New Reviewer)

Dear Author,

                       Kindly work on the following comments.

Comments for author File: Comments.pdf

Author Response

Dear reviewer:

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report (New Reviewer)

The safety and security of the data and technique is not properly described. The experiments not clearly show success rate of technique. Data taken seems to be in appropriate described. Moderate changes are needed from language point of view.

Author Response

Dear reviewer:

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 4 Report (New Reviewer)

 Figure 1. The number of connected works has changed throughout time.

 Figure 1's title is not suitable and should be changed to a more relevant and accurate title!

 The vertical axis legend is missing. I know the numbers in the vertical axis represent the number of papers published in each period. A legend (number of sheets) should be included in the figure.

 The following paragraphs present the papers that we filtered out and contributed significantly to our study.

 It is unclear how these papers/studies have been filtered out. What are the criteria used to filter out the relevant studies? You should explain those criteria to help readers understand why these works/studies have been considered!

The conclusion of this work provides future research directions concerning energy-saving problems of wireless networks based on the IoT. It also discusses the possible issues of the future use of IoT.

The above two sentences have been written on lines 139 and 14 as part of the discussion of the work in [17]. I don’t think this is the right place for these sentences to be placed in the discussion of previous work! The discussion shouldn’t be about the future work of the researcher. Instead, it should focus on the paper's work and the contribution made to that work!

 

I’m not quite satisfied with the way the author discussed the previous works between lines 136 and 152. I would suggest rephrasing this paragraph and improving its quality. You should first address the issues highlighted in each work, then explain how they have been solved. You should also explain the limitations of these works. Most importantly, these works must be discussed in chronological order starting from oldest to newest works. For instance, [17] was published in 2017 and discussed first. In contrast, the work in [18] was published in 2015, and the work in [20] have been published in 2017. Thus, the time order of these works is incorrect!

 

Similarly, the discussion of the previous works in [21], [22], and [23] is not properly ordered. The work in [21] was published in 2015, the work in [22] was published in 2010, and the work in [23] was published in 2015.

 

The same issue was found in the discussion on the use of Internet of Things technology to operate video surveillance systems (lines 162- 191). The order of the previous works is incorrect! You must reorder them based on time (oldest to latest).

 

It is the same issue found in the discussion for advanced scalable Media-based smart Big Data on Intelligent Cloud Computing systems (lines 192-221).  The order of the previous works is incorrect! You must reorder them based on the time from oldest to newest.

Reorder the entire paragraph and examine the pros and cons of each work in-depth.

 

Table 1. Mapping Problems Against Referenced Solutions.

I can’t see any values in Table 1. The text explains all of the information given in Table 1. The problems and solutions of all works are discussed in the text. Table 1 repeats the same thing using different words! It would be helpful if you provided more information that is not included in the text. These details should be elicited from those papers and readers cannot identify them straightforwardly!

 

You must be consistent with Tele-phones or Telephones. (See lines 228 and 238)!

Also, Bio-metric, or Biometric?

 

In section 3, you must explain the devices based on their order. The order is different!

 

Table 2. Internet of Things Contributions to Monitoring Systems.

 

It is unclear what the values a, b, c, d, and e mean in Table 2. I cannot find the meaning of these letters in the text!

 

Figure 2. Architecture Comparison & Contribution.

 

What criteria were used to identify the 6 articles presented in Figure 2? Why have these 6 articles been chosen? What makes them suitable for this study?

 

Figure 2 requires a more in-depth discussion. It is unclear why these 6 articles were selected.

 

Figure 3 is trivial and should be removed! It is merely copied/pasted from the sources People can refer directly to those papers and find out about these figures.

 

5.3. Algorithm Approach

 

Section 5.3's name is inappropriate! What do you mean by an Algorithm Approach? How come these two terms are combined in this way? Approach and Algorithm are two different terms for the same thing! We use them interchangeably!

 

 What are the input and output of the algorithm presented on page 15? The algorithm has no name and is not even numbered!

 

Figure 4 illustrates the data produced and transmitted through the procedure with the proposed algorithm and a conventional algorithm. Which conventional algorithm has been used? Why has this algorithm been used in the comparison? Why is the work not compared against the latest works/algorithms?

 

What is the time unit in Figure 4? Milliseconds? Seconds? Minutes? Hours?

 

 The paper is not suitable for publication for the following reasons

1. The problem statement is trivial and not properly addressed.

2. The work lacks contributions. There is no novel idea in the work, so it cannot be appreciated. If you think your work is new, you must elaborate on it. You must describe how your proposed solution is better than the latest solutions. The comparison with the conventional algorithm is inadequate!

3. The discussion of the previous works is miserable!

4. The experimental results are not sufficient to draw a solid conclusion about the proposed work.

5. The structure and the organization of the paper are ill-formed.

6. The comparison is limited to a conventional algorithm. The work must be compared to the latest relevant works.

7. The list of references is not sufficient and the most recent relevant works should be included. Below are some recent related works to be included in the paper

https://www.igi-global.com/gateway/article/304908

https://link.springer.com/chapter/10.1007/978-3-031-22959-6_4

https://www.hindawi.com/journals/jhe/2022/5337733/

https://www.sciencedirect.com/science/article/pii/S1877050920308905?via%3Dihub

  1. The abstract needs improvement. You should add some discussion of the work's findings.

  2. Section 3 also needs major modifications to improve its quality. Video Monitoring devices should be discussed in-depth and in relation to the paper's topic. This could be done by relating the issues addressed in this paper and these devices.

  3. Section 4 also needs significant improvement. It is very short and most texts are trivial.

  4. The algorithm needs further elaboration. The algorithm steps should be carefully discussed and the added additional steps should be discussed deliberately. The algorithm steps must be numbered.

  5. Section 6 should give the experiment settingThere is little discussion of the experimental results. You should elaborate on the results and discuss them in more detail. Most importantly, you should explain why your algorithm outperforms previous algorithms. What factors might influence the algorithm's performance?

  6. You should use at least one data set to test the algorithm and support the work conclusion.

  7. The paper must be revised and resubmitted for a second round of review before any recommendations can be made.

Author Response

Dear reviewer:

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report (New Reviewer)

Thanks to authors for the detailed response and additions I read through the comments and skimmed the revised PDF, The updates did improve the paper a lot. I would be happy to recommend this paper for publication.

Author Response

Dear reviewer,

 

We would like to thank you for your helpful comments on the paper. We appreciate the effort you put on, and the time you devoted to writing your suggestions. We believe, we have been able to address all your comments and correct any deficiencies you have pointed out.

 

  1. Thanks to authors for the detailed response and additions I read through the comments and skimmed the revised PDF, The updates did improve the paper a lot. I would be happy to recommend this paper for publication.

 

Thank you for this direction. We appreciate your comment. We restructured the paper in a way that makes it easier to understand. Also, we have tried to improve the English grammatical errors of the paper.

 

The whole corrections or additions we have made in the paper we noticed with blue color.

 

Thank you very much for your attention and kind consideration.

 

Sincerely yours,

Dr. Christos L. Stergiou

Post-Doc. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: c.stergiou@uom.edu.gr

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

 

Dr. Maria Koidou

Post-Doc. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: maria_koidou@yahoo.gr

 

Prof. Kostas E. Psannis

Associate Editor IEEE Access

Associate Editor IEEE Com Letters

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Applied Sciences Special Issue “Advancements in QoS/QoE for Future Networks and Their Applications” https://www.mdpi.com/journal/applsci/special_issues/PPMUH0SF3O

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare” https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Guest Editor MDPI Applied Sciences Topical Collection “5G Networks: Optimization, Machine Learning and Blockchain Technologies II” https://www.mdpi.com/journal/applsci/sections/computing_artificial_intelligence

Guest Editor MDPI Telecom Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/telecom/special_issues/6g_wireless_communication

Guest Editor MDPI Sensors Special Issue “Compressive Sensing-Based IoT Applications” https://www.mdpi.com/journal/sensors/special_issues/Compressive_Sensing_IoT

Guest Editor MDPI Information Special Issue “ICCCI 2020&2021: Advances in Baseband Signal Processing, Circuit Designs, and Communications” https://www.mdpi.com/journal/information/special_issues/ICCCI_2020

Guest Editor MDPI Applied Sciences Special Issue “5G Networks: Optimization, Machine Learning And Blockchain Technologies” https://www.mdpi.com/journal/applsci/special_issues/5G_blockchain

Guest Editor MDPI Sensors Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/sensors/special_issues/6g_wireless_communication_systems’

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: kpsannis@uom.edu.gr

Tel: +30 2310 891 737

 

Author Response File: Author Response.pdf

Reviewer 4 Report (New Reviewer)

I reviewed the revised version of the manuscript and checked all the corrections made on the paper based on my comments/suggestions.

I believe that the changes made in response to my comments and suggestions have greatly improved the clarity and coherence of the paper. However, there are a few more corrections that should be made before move forward with the publication of the manuscript. I request the authors to address the following points:

1. The input and output of Algorithms 1 and 2 must be included in the algorithms description.

2. The word approach in (4.5. Video/image transmission and processing Algorithm Approach) must be removed.

3. I have noticed that the conclusion section appears to be excessively long, which may affect the overall readability and clarity of the paper. To ensure that readers can grasp the key takeaways more effectively, I suggest shortening the conclusion section. A concise and focused conclusion will help highlight the most critical findings and contributions of your research without overwhelming the reader with excessive details. It should provide a clear and impactful summary of your study's outcomes and their implications.

Author Response

Dear reviewer,

 

We would like to thank you for your helpful comments on the paper. We appreciate the effort you put on, and the time you devoted to writing your suggestions. We believe, we have been able to address all your comments and correct any deficiencies you have pointed out.

 

  1. I reviewed the revised version of the manuscript and checked all the corrections made on the paper based on my comments/suggestions.

 

Thank you for your comments. We really appreciate it. We have provided revised text.

 

  1. I believe that the changes made in response to my comments and suggestions have greatly improved the clarity and coherence of the paper. However, there are a few more corrections that should be made before move forward with the publication of the manuscript. I request the authors to address the following points:

 

  1. The input and output of Algorithms 1 and 2 must be included in the algorithms description.

 

Thank you for your comments. We really appreciate it. We have provided a better description of Algorithms 1 and 2 by adding more text explaining the input and output of each algorithm. We have endeavored to extend and modify the discussion of this part of our study.

 

[Subsection 4.4, Paragraph 11]

The encryption and decryption operations of the first encryption algorithm are denoted in Algorithm 1 by the functions encryptWithAlgorithm1() and decryptWithAlgorithm1(), respectively. The encryption and decryption functions of the second encryption algorithm are represented, respectively, by the functions encryptWithAlgorithm2() and decryptWithAlgorithm2(). The actual encryption and decryption methods we want to employ each time, such as AES, RSA, or any other encryption algorithms of our choice, can be substituted for the aforementioned function names in the suggested scenario. The input of Algorithm 1 gets the transmitted data of video/image before encryption and the output is the transmitted data of video/image after encrypted and ready to be transmitted. Also, in the reverse procedure, Algorithm 1 gets the encrypted transmitted data of video/image and the output is the decrypted transmitted data of video/image ready to be used.

 

[Subsection 4.5, Paragraph 5]

Specifically, Algorithm 2 represents the whole procedure implemented by our proposed equation (1) consisting of our study on previous works [7] [10] [11] [52] [61]. As a result, In Algorithm 2, we compare the data from the First Time Window to the functions that depict the change in the value of each component of the equation (1). The suggested algorithm "calls" the value of the Packet Loss Rate, Round Trip Time, Signal to Interface, and Noise Ratio of each loop in a limited number of loops while the time is "paused", all from the client that transmits and/or analyzes the video/image. Continuously, count on equation (1) the algorithm calculates the better way to transmit and/or process the video/image by choosing a calculation scenario relying on the type of the transmitted and/or processed video/image. Inside a loop function which is repeated until the value of bLoA is greater or equal than the value of , then the calculation takes as many times as the random variable x is greater or equal to the value k, which is the sequence number of the particular transmission/procession. When the loop function ends, the particular video/image starts to be transmitted/processed to the client. Due to the requirement for a rapid response to the client's request, the proposed algorithm's process is predicted to take less than one minute. The input of Algorithm 2 based on three values that are necessary for the operation of the algorithm, first, the value of the packet loss rate (PL) count on the sequence number (k) of each round, second, the value of the round trip time count on the sequence number (k) of each round, and third, the value of the signal-to-interference and noise ratio count on the sequence number (k) of each round. Additionally, as an input the Algorithm 2 gets any additionally information added from each user of the system. From the other hand, the output of Algorithm 2 extracts the transmission data of the video/image transmitted each time through the system.

 

  1. The word approach in (4.5. Video/image transmission and processing Algorithm Approach) must be removed.

 

Thank you for your comments. We really appreciate it. We have removed the word approach from the title of subsection 4.5.

 

  1. I have noticed that the conclusion section appears to be excessively long, which may affect the overall readability and clarity of the paper. To ensure that readers can grasp the key takeaways more effectively, I suggest shortening the conclusion section. A concise and focused conclusion will help highlight the most critical findings and contributions of your research without overwhelming the reader with excessive details. It should provide a clear and impactful summary of your study's outcomes and their implications.

 

Thank you for your comments. We really appreciate it. We have provided a better conclusion section by reducing its size and make it more focused to the conclusions of our work.

 

The whole corrections or additions we have made in the paper we noticed with blue color.

 

Thank you very much for your attention and kind consideration.

 

Sincerely yours,

Dr. Christos L. Stergiou

Post-Doc. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: c.stergiou@uom.edu.gr

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

 

Dr. Maria Koidou

Post-Doc. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: maria_koidou@yahoo.gr

 

Prof. Kostas E. Psannis

Associate Editor IEEE Access

Associate Editor IEEE Com Letters

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Applied Sciences Special Issue “Advancements in QoS/QoE for Future Networks and Their Applications” https://www.mdpi.com/journal/applsci/special_issues/PPMUH0SF3O

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare” https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Guest Editor MDPI Applied Sciences Topical Collection “5G Networks: Optimization, Machine Learning and Blockchain Technologies II” https://www.mdpi.com/journal/applsci/sections/computing_artificial_intelligence

Guest Editor MDPI Telecom Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/telecom/special_issues/6g_wireless_communication

Guest Editor MDPI Sensors Special Issue “Compressive Sensing-Based IoT Applications” https://www.mdpi.com/journal/sensors/special_issues/Compressive_Sensing_IoT

Guest Editor MDPI Information Special Issue “ICCCI 2020&2021: Advances in Baseband Signal Processing, Circuit Designs, and Communications” https://www.mdpi.com/journal/information/special_issues/ICCCI_2020

Guest Editor MDPI Applied Sciences Special Issue “5G Networks: Optimization, Machine Learning And Blockchain Technologies” https://www.mdpi.com/journal/applsci/special_issues/5G_blockchain

Guest Editor MDPI Sensors Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/sensors/special_issues/6g_wireless_communication_systems’

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: kpsannis@uom.edu.gr

Tel: +30 2310 891 737

 

Author Response File: Author Response.pdf

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.


Round 1

Reviewer 1 Report

The problem of healthcare video monitoring in future IoMT is well documented and well explained. On the other hand, there is a lack of explicit comments on how the proposed algorithm will improve the security and privacy of healthcare data. There is no explicit comment on Digital twin simulation results for the proposed algorithm. 

There is no results and/or discussion section. The conclusion part is more of a review of the paper.

In my opinion, the title does not reflect the content of the paper well and should be changed. 

Author Response

Dear reviewer,

 

We would like to thank you for your helpful comments on the paper. We appreciate the effort you put on, and the time you devoted to writing your suggestions. We believe, we have been able to address all your comments and correct any deficiencies you have pointed out.

 

  1. The problem of healthcare video monitoring in future IoMT is well documented and well explained. On the other hand, there is a lack of explicit comments on how the proposed algorithm will improve the security and privacy of healthcare data. There is no explicit comment on Digital twin simulation results for the proposed algorithm.

 

Thank you for this direction. We appreciate your comment and we provide a better description of our proposal by adding an experimental results section (Section 6). We have endeavored to extend the discussion of this part of our study in the following paragraphs. Moreover, the emphasis on what Digital Twin offers and which are the advantages of its use presented in paragraph 2 of the new Section 6.

 

[Section 6, Paragraphs 1, 2, 3, 4]

  1. Experimental Results & Analysis

This section presents the experimental analysis and the discussion of the experimental results of our Digital Twin scenario. To verify the better use of our proposal and to test its performance of it we perform several measurements through which we can realize that we have done a good effort.

The Digital Twins concept is most frequently used to better “predict” functionality through a virtual model designed to accurately reflect a physical object. Through such a system, useful information could be extracted about its reliability and its usage, as well as the degree of improvement of the existing system/object [61] [63].

Figure 4 illustrates the data produced and transmitted through the procedure using the proposed algorithm and a conventional algorithm. The blue line represents the results of the conventional algorithm and the green line represents the results of the proposed algorithm. As we can observe, our proposal could be more efficient because it could produce and transmit more data sets at the same time compared with the conventional algorithm.

Figure 5 describes the better Energy Efficiency offered by the Digital Twin scenario that implements our proposal. As we can observe our proposed scenario needs less energy than the other compared frameworks through time. This can offer a better option for energy consumption and offer a more sustainable and environmentally friendly framework.

 

Also, we have provided the experimental results of the Digital Twin simulation in the new Section 6. The presentation of the new Section is answered in the next comment.

 

  1. There is no results and/or discussion section.

 

Thank you for this advice. We appreciate your comment and we provide a better description of our proposal by adding an experimental results section (Section 6). We have endeavored to extend the discussion of this part of our study in the following paragraphs.

 

[Section 6, Paragraphs 1, 2, 3, 4 – Figures 4, 5]

  1. Experimental Results & Analysis

This section presents the experimental analysis and the discussion of the experimental results of our Digital Twin scenario. To verify the better use of our proposal and to test its performance of it we perform several measurements through which we can realize that we have done a good effort.

 

Figure 4. Algorithm’s Bandwidth Comparison.

 

The Digital Twins concept is most frequently used to better “predict” functionality through a virtual model designed to accurately reflect a physical object. Through such a system, useful information could be extracted about its reliability and its usage, as well as the degree of improvement of the existing system/object [61] [63].

Figure 4 illustrates the data produced and transmitted through the procedure using the proposed algorithm and a conventional algorithm. The blue line represents the results of the conventional algorithm and the green line represents the results of the proposed algorithm. As we can observe, our proposal could be more efficient because it could produce and transmit more data sets at the same time compared with the conventional algorithm.

Figure 5. Energy Consumption Comparison (Consumption in /Time in minutes).

 

Figure 5 describes the better Energy Efficiency offered by the Digital Twin scenario that implements our proposal. As we can observe our proposed scenario needs less energy than the other compared frameworks through time. This can offer a better option for energy consumption and offer a more sustainable and environmentally friendly framework.

 

  1. The conclusion part is more of a review of the paper.

 

Thank you for this advice. We appreciate your comment and we provide a better description of the Conclusion section. We have endeavored to extend the discussion of the Conclusions of our study in the following paragraph.

 

[Section 7, Paragraphs 3]

Through our findings, we concluded that our proposal operates more efficiently due to the Digital Twin scenario that uses, and additionally, the proposed algorithm provides a more secure production and transmission of the data used in an IoT-based Healthcare Monitoring system. By the figures of the experimental results section can observe that the algorithm proposed in our work offers a more secure transmission of the data through time, and offers larger amounts of data used and transmitted in the communication channel. With this, we can have a more reliable and secure IoT-based Healthcare Monitoring system in the Cloud, that uses all the advantages of the involved technologies to the maximum. Furthermore, by the figures of the experimental results section, we can observe that the operation of the proposed scenario as a Digital Twin scenario offers a more sustainable and energy-efficient system.

 

  1. In my opinion, the title does not reflect the content of the paper well and should be changed.

 

Thank you for this direction. We worked to improve the title of the paper to reflect in a better way the content of the paper.

 

The whole corrections or additions we have made in the paper we noticed with blue color.

 

Thank you very much for your attention and kind consideration.

 

Sincerely yours,

Dr. Christos L. Stergiou

Ph.D. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: c.stergiou@uom.edu.gr

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

 

Maria Koidou

Post-Doc. University of Macedonia

Email: maria_koidou@yahoo.gr

 

Prof. Kostas E. Psannis

Associate Editor IEEE Access

Associate Editor IEEE Com Letters

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Applied Sciences Special Issue “Advancements in QoS/QoE for Future Networks and Their Applications” https://www.mdpi.com/journal/applsci/special_issues/PPMUH0SF3O

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare” https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Guest Editor MDPI Applied Sciences Topical Collection “5G Networks: Optimization, Machine Learning and Blockchain Technologies II” https://www.mdpi.com/journal/applsci/sections/computing_artificial_intelligence

Guest Editor MDPI Telecom Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/telecom/special_issues/6g_wireless_communication

Guest Editor MDPI Sensors Special Issue “Compressive Sensing-Based IoT Applications” https://www.mdpi.com/journal/sensors/special_issues/Compressive_Sensing_IoT

Guest Editor MDPI Information Special Issue “ICCCI 2020&2021: Advances in Baseband Signal Processing, Circuit Designs, and Communications” https://www.mdpi.com/journal/information/special_issues/ICCCI_2020

Guest Editor MDPI Applied Sciences Special Issue “5G Networks: Optimization, Machine Learning And Blockchain Technologies” https://www.mdpi.com/journal/applsci/special_issues/5G_blockchain

Guest Editor MDPI Sensors Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/sensors/special_issues/6g_wireless_communication_systems’

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: kpsannis@uom.edu.gr

Tel: +30 2310 891 737

 

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Authors,

I have read your article named "Smart Secure Data transmission and Privacy based on Digital Twin and IoT Networks", but I must conclude, that at the present state it has many serious flows, not allowing to accept it:

1. The paper is submitted as an ‘article’, but its content is basically a ‘review’ (which the authors approve in the abstract).

2. The name suggests that it is related with 'smart', 'secure' and 'private' data transmission, but the text almost does not speak about privacy and security. It does not speak extensively about transmission and digital twins (only breathy), mainly speaking about well-known features of IoT and, what the authors called, 'Monitoring Technology'. This is strange, since monitoring is not a technology, but is represented by many various technologies...

3. Since the paper is submitted as an 'article', I cannot find the problem you are solving. It is completely unclear why this article was written, what problem is solved, what related works and the achievements of other authors are, etc.

4. The English language is poor. Therefore, in some places, I cannot understand the ideas you want to present.

5. Finally, the paper includes an excessive number of self-citations (14), which is not acceptable for such kind of papers.

Author Response

Dear reviewer,

 

We would like to thank you for your helpful comments on the paper. We appreciate the effort you put on, and the time you devoted to writing your suggestions. We believe, we have been able to address all your comments and correct any deficiencies you have pointed out.

 

  1. The paper is submitted as an ‘article’, but its content is basically a ‘review’ (which the authors approve in the abstract).

 

Thank you for this direction. We have changed the submitted type of our paper from ‘article’ to ‘review’.

 

  1. The name suggests that it is related with 'smart', 'secure' and 'private' data transmission, but the text almost does not speak about privacy and security. It does not speak extensively about transmission and digital twins (only breathy), mainly speaking about well-known features of IoT and, what the authors called, 'Monitoring Technology'. This is strange, since monitoring is not a technology, but is represented by many various technologies...

 

Thank you for this direction. We appreciate your comment and we provide a better description of our proposal by adding an experimental results section (Section 6). We have endeavored to extend the discussion of this part of our study in the following paragraphs. Moreover, the emphasis on what Digital Twin offers and which are the advantages of its use presented in paragraph 2 of the new Section 6.

 

[Section 6, Paragraphs 1, 2, 3, 4 – Figures 4, 5]

  1. Experimental Results & Analysis

This section presents the experimental analysis and the discussion of the experimental results of our Digital Twin scenario. To verify the better use of our proposal and to test its performance of it we perform several measurements through which we can realize that we have done a good effort.

 

Figure 4. Algorithm’s Bandwidth Comparison.

 

The Digital Twins concept is most frequently used to better “predict” functionality through a virtual model designed to accurately reflect a physical object. Through such a system, useful information could be extracted about its reliability and its usage, as well as the degree of improvement of the existing system/object [61] [63].

Figure 4 illustrates the data produced and transmitted through the procedure using the proposed algorithm and a conventional algorithm. The blue line represents the results of the conventional algorithm and the green line represents the results of the proposed algorithm. As we can observe, our proposal could be more efficient because it could produce and transmit more data sets at the same time compared with the conventional algorithm.

Figure 5. Energy Consumption Comparison (Consumption in /Time in minutes).

 

Figure 5 describes the better Energy Efficiency offered by the Digital Twin scenario that implements our proposal. As we can observe our proposed scenario needs less energy than the other compared frameworks through time. This can offer a better option for energy consumption and offer a more sustainable and environmentally friendly framework.

 

Also, we have tried to improve the title of the paper to illustrate in a better way the content of the paper.

 

Furthermore, we correct the content of the text in the way that we refer to Monitoring as a system and not as a technology.

 

  1. Since the paper is submitted as an 'article', I cannot find the problem you are solving. It is completely unclear why this article was written, what problem is solved, what related works and the achievements of other authors are, etc.

 

Thank you for this direction. We have changed the submitted type of our paper. Also, regarding the second part of your comment, with our paper we try to contribute the following:

  • Combine the IoT with Monitoring systems to achieve better use, and additionally satisfy the requirements of the future needs of Monitoring systems.
  • Introduce IoT as a recently developed technology in the telecommunications field, which processes video/image data.
  • Survey the IoT technology and monitoring systems to illustrate how their combination will improve certain types of Healthcare-IoT Monitoring systems.
  • Discuss the IoT characteristics which improve the use of the types of monitoring systems.
  • Discusses some technical challenges of Multimedia in IoT, based on Healthcare data, through a Cloud-based system.
  • Show how the Mobile Cloud Computing (MCC) technology, as a base technology, improves the function of the Healthcare-IoT and influences the various types of monitoring systems.
  • Proposed an algorithm approach for transmitting and processing video/image data through a Cloud-based Monitoring system.

 

  1. The English language is poor. Therefore, in some places, I cannot understand the ideas you want to present.

 

Thank you for this direction. We appreciate your comment. We restructured the paper in a way that makes it easier to understand. Also, we have tried to improve the English grammatical errors in the paper.

 

  1. Finally, the paper includes an excessive number of self-citations (14), which is not acceptable for such kind of papers.

 

Thank you for your comment. Therefore, the excessive number of citing our past published work is based on the fact that the present paper is in many of them is an extended work. In many parts of the text referred that based on our previous works and findings we came to the present conclusions.

 

The whole corrections or additions we have made in the paper we noticed with blue color.

 

Thank you very much for your attention and kind consideration.

 

Sincerely yours,

Dr. Christos L. Stergiou

Ph.D. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: c.stergiou@uom.edu.gr

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

 

Maria Koidou

Post-Doc. University of Macedonia

Email: maria_koidou@yahoo.gr

 

Prof. Kostas E. Psannis

Associate Editor IEEE Access

Associate Editor IEEE Com Letters

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Applied Sciences Special Issue “Advancements in QoS/QoE for Future Networks and Their Applications” https://www.mdpi.com/journal/applsci/special_issues/PPMUH0SF3O

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare” https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Guest Editor MDPI Applied Sciences Topical Collection “5G Networks: Optimization, Machine Learning and Blockchain Technologies II” https://www.mdpi.com/journal/applsci/sections/computing_artificial_intelligence

Guest Editor MDPI Telecom Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/telecom/special_issues/6g_wireless_communication

Guest Editor MDPI Sensors Special Issue “Compressive Sensing-Based IoT Applications” https://www.mdpi.com/journal/sensors/special_issues/Compressive_Sensing_IoT

Guest Editor MDPI Information Special Issue “ICCCI 2020&2021: Advances in Baseband Signal Processing, Circuit Designs, and Communications” https://www.mdpi.com/journal/information/special_issues/ICCCI_2020

Guest Editor MDPI Applied Sciences Special Issue “5G Networks: Optimization, Machine Learning And Blockchain Technologies” https://www.mdpi.com/journal/applsci/special_issues/5G_blockchain

Guest Editor MDPI Sensors Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/sensors/special_issues/6g_wireless_communication_systems’

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: kpsannis@uom.edu.gr

Tel: +30 2310 891 737

 

Author Response File: Author Response.pdf

Reviewer 3 Report

This study presents a review of Smart Secure Data transmission and Privacy based on Digital Twin and IoT Networks. The paper can be revised based on the following suggestions:

1. The title of the work is not justified. The title of the manuscript does not give any indication that it is a review paper.

2. Abstract needs much improvement:

Reorganize the abstract to conclude:

(a) The overall purpose of the study and what is the need for presenting this review paper

(b) Major findings or trends found as a result of the study.

 

(c) A brief summary of your interpretations and conclusions.

3. Some more discussion and analysis on video monitoring-related things is required.

4. What are the current challenges is missing

5. The introduction needs to clarify the (1) motivation, (2) challenges, (3) contribution, (4) objectives, and (5) significance/implication. All the information (should be) presented in sequence idea.

6. Highlight your analysis and reflect only the important points for the whole paper.

-   Mention the benefits

-   Mention the implication in the last of this section

 

Author Response

Dear reviewer,

 

We would like to thank you for your helpful comments on the paper. We appreciate the effort you put on, and the time you devoted to writing your suggestions. We believe, we have been able to address all your comments and correct any deficiencies you have pointed out.

 

  1. The title of the work is not justified. The title of the manuscript does not give any indication that it is a review paper.

 

Thank you for this direction. We worked to improve the title of the paper to reflect in a better way the content of the paper.

 

  1. Abstract needs much improvement:

Reorganize the abstract to conclude:

(a) The overall purpose of the study and what is the need for presenting this review paper

(b) Major findings or trends found as a result of the study.

(c) A brief summary of your interpretations and conclusions.

 

Thank you for this direction. We appreciate your comment and we have tried to highlight our contribution by adding more text where it is necessary and also by improving the quality of the whole paper. Also, we have rewritten the abstract to specify analysis concepts and reasons that we came to our motivation and the scientific impact. Thus, we worked to improve the abstract of the paper. We thought that we specified analysis concepts and reasons that we came to our motivation and the scientific impact. Since we hope that we now have adjusted to better form the abstract.

 

[Abstract]

The Internet of Things (IoT) was introduced as a recently developed technology in the telecommunications field. It is a network made up of real-world objects, things, and gadgets that are enabled by sensors and software that can communicate data with one another. Systems for monitoring gather, exchange, and process video and image data captured by sensors and cameras across a network. Furthermore, the novel concept of Digital Twin offers new opportunities so that new proposed systems can work virtually, but without differing in operation from a “real” system. This paper is a meticulous survey of the IoT and monitoring systems to illustrate how their combination will improve certain types of Healthcare-IoT Monitoring systems in the Cloud. To achieve this goal, we discuss the IoT characteristics which improve the use of the types of monitoring systems over a Multimedia Transmission System in the Cloud. The paper also discusses some technical challenges of Multimedia in IoT, based on Healthcare data. Finally, it shows how the Mobile Cloud Computing (MCC) technology, settled as base technology, improves the function of the IoT, and influences the various types of monitoring technology, and also it proposes an algorithm approach to transmitting and processing video/image data through a Cloud-based Monitoring system. To extract useful information about the reliability of our proposal in a more safe and useful way we have implemented our proposal in a Digital Twin scenario of a Smart Healthcare system. In the end, experimental results show that the proposed system is more reliable and secure, and the operation of the proposed scenario as a Digital Twin scenario offers a more sustainable and energy-efficient system.

 

Furthermore, we provide a better description of our proposal by adding an experimental results section (Section 6). We have endeavored to extend the discussion of this part of our study in the following paragraphs. Moreover, the emphasis on what Digital Twin offers and which are the advantages of its use presented in paragraph 2 of the new Section 6.

 

[Section 6, Paragraphs 1, 2, 3, 4 – Figures 4, 5]

  1. Experimental Results & Analysis

This section presents the experimental analysis and the discussion of the experimental results of our Digital Twin scenario. To verify the better use of our proposal and to test its performance of it we perform several measurements through which we can realize that we have done a good effort.

 

Figure 4. Algorithm’s Bandwidth Comparison.

 

The Digital Twins concept is most frequently used to better “predict” functionality through a virtual model designed to accurately reflect a physical object. Through such a system, useful information could be extracted about its reliability and its usage, as well as the degree of improvement of the existing system/object [61] [63].

Figure 4 illustrates the data produced and transmitted through the procedure using the proposed algorithm and a conventional algorithm. The blue line represents the results of the conventional algorithm and the green line represents the results of the proposed algorithm. As we can observe, our proposal could be more efficient because it could produce and transmit more data sets at the same time compared with the conventional algorithm.

Figure 5. Energy Consumption Comparison (Consumption in /Time in minutes).

 

Figure 5 describes the better Energy Efficiency offered by the Digital Twin scenario that implements our proposal. As we can observe our proposed scenario needs less energy than the other compared frameworks through time. This can offer a better option for energy consumption and offer a more sustainable and environmentally friendly framework.

 

Also, we have tried to improve the title of the paper to illustrate in a better way the content of the paper.

 

Moreover, we correct the content of the text in the way that we refer to Monitoring as a system and not as a technology.

 

Additionally, we provide a better description of the Conclusion section. We have endeavored to extend the discussion of the Conclusions of our study in the following paragraph.

 

[Section 7, Paragraphs 3]

Through our findings, we concluded that our proposal operates more efficiently due to the Digital Twin scenario that uses, and additionally, the proposed algorithm provides a more secure production and transmission of the data used in an IoT-based Healthcare Monitoring system. By the figures of the experimental results section can observe that the algorithm proposed in our work offers a more secure transmission of the data through time, and offers larger amounts of data used and transmitted in the communication channel. With this, we can have a more reliable and secure IoT-based Healthcare Monitoring system in the Cloud, that uses all the advantages of the involved technologies to the maximum. Furthermore, by the figures of the experimental results section, we can observe that the operation of the proposed scenario as a Digital Twin scenario offers a more sustainable and energy-efficient system.

 

  1. Some more discussion and analysis on video monitoring-related things is required.

 

Thank you for this direction. All the related discussions about monitoring systems are presented in Section 3 by analyzing the most important and representative. Also, in Section 5 we present the contribution of Internet of Things technology to the monitoring systems and the major architectures that emerged from the literature review. In addition to this, Section 5, presented how MCC offers a hospitable environment to IoT-monitoring systems, and how contributes to them. Finally, the related works that discuss monitoring systems are presented in Section 2.

 

  1. What are the current challenges is missing

 

Thank you for this direction. We appreciate your comment. The challenges of monitoring systems are identified with those of Multimedia IoT to a large extent since Multimedia IoT represents the data created and transmitted by monitoring systems in the Healthcare-IoT Monitoring systems in the Cloud we propose in this work.

 

  1. The introduction needs to clarify the (1) motivation, (2) challenges, (3) contribution, (4) objectives, and (5) significance/implication. All the information (should be) presented in sequence idea.

 

Thank you for your comment. We appreciate your comment. We have made the necessary additions and corrections in the whole text of the paper to clarify our proposal. Furthermore, we endeavored to extend the discussion of the contributions and objectives, of our study in the following paragraph.

 

[Section 1, Paragraphs 10]

Moreover, the major goal of this work is initially to survey emerging technologies and systems of the telecommunications field, such as IoT, Monitoring, Big Data, and Cloud Computing, and then to find the open gaps in their integration model. Furthermore, we have tried to achieve a better way of transmitting and processing video/image data through a Cloud-based Monitoring system, by proposing a novel algorithm. We can present the key contributions of our work as a result of the presentation of the fundamental theoretical data of the research topic of this work. This work's key contributions are:

 

  1. Highlight your analysis and reflect only the important points for the whole paper.

-   Mention the benefits

-   Mention the implication in the last of this section

 

Thank you for this advice. We appreciate your comment and we provide a better description of the Conclusion section. We have endeavored to extend the discussion of the Conclusions of our study in the following paragraph.

 

[Section 7, Paragraphs 3]

Through our findings, we concluded that our proposal operates more efficiently due to the Digital Twin scenario that uses, and additionally, the proposed algorithm provides a more secure production and transmission of the data used in an IoT-based Healthcare Monitoring system. By the figures of the experimental results section can observe that the algorithm proposed in our work offers a more secure transmission of the data through time, and offers larger amounts of data used and transmitted in the communication channel. With this, we can have a more reliable and secure IoT-based Healthcare Monitoring system in the Cloud, that uses all the advantages of the involved technologies to the maximum. Furthermore, by the figures of the experimental results section, we can observe that the operation of the proposed scenario as a Digital Twin scenario offers a more sustainable and energy-efficient system.

 

Additionally, we appreciate your comment and we provide a better description of our proposal by adding an experimental results section (Section 6). We have endeavored to extend the discussion of this part of our study in the following paragraphs. Moreover, the emphasis on what Digital Twin offers and which are the advantages of its use presented in paragraph 2 of the new Section 6.

 

[Section 6, Paragraphs 1, 2, 3, 4 – Figures 4, 5]

  1. Experimental Results & Analysis

This section presents the experimental analysis and the discussion of the experimental results of our Digital Twin scenario. To verify the better use of our proposal and to test its performance of it we perform several measurements through which we can realize that we have done a good effort.

 

Figure 4. Algorithm’s Bandwidth Comparison.

 

The Digital Twins concept is most frequently used to better “predict” functionality through a virtual model designed to accurately reflect a physical object. Through such a system, useful information could be extracted about its reliability and its usage, as well as the degree of improvement of the existing system/object [61] [63].

Figure 4 illustrates the data produced and transmitted through the procedure using the proposed algorithm and a conventional algorithm. The blue line represents the results of the conventional algorithm and the green line represents the results of the proposed algorithm. As we can observe, our proposal could be more efficient because it could produce and transmit more data sets at the same time compared with the conventional algorithm.

Figure 5. Energy Consumption Comparison (Consumption in /Time in minutes).

 

Figure 5 describes the better Energy Efficiency offered by the Digital Twin scenario that implements our proposal. As we can observe our proposed scenario needs less energy than the other compared frameworks through time. This can offer a better option for energy consumption and offer a more sustainable and environmentally friendly framework.

 

 

The whole corrections or additions we have made in the paper we noticed with blue color.

 

Thank you very much for your attention and kind consideration.

 

Sincerely yours,

Dr. Christos L. Stergiou

Ph.D. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: c.stergiou@uom.edu.gr

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

 

Maria Koidou

Post-Doc. University of Macedonia

Email: maria_koidou@yahoo.gr

 

Prof. Kostas E. Psannis

Associate Editor IEEE Access

Associate Editor IEEE Com Letters

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Applied Sciences Special Issue “Advancements in QoS/QoE for Future Networks and Their Applications” https://www.mdpi.com/journal/applsci/special_issues/PPMUH0SF3O

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare” https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Guest Editor MDPI Applied Sciences Topical Collection “5G Networks: Optimization, Machine Learning and Blockchain Technologies II” https://www.mdpi.com/journal/applsci/sections/computing_artificial_intelligence

Guest Editor MDPI Telecom Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/telecom/special_issues/6g_wireless_communication

Guest Editor MDPI Sensors Special Issue “Compressive Sensing-Based IoT Applications” https://www.mdpi.com/journal/sensors/special_issues/Compressive_Sensing_IoT

Guest Editor MDPI Information Special Issue “ICCCI 2020&2021: Advances in Baseband Signal Processing, Circuit Designs, and Communications” https://www.mdpi.com/journal/information/special_issues/ICCCI_2020

Guest Editor MDPI Applied Sciences Special Issue “5G Networks: Optimization, Machine Learning And Blockchain Technologies” https://www.mdpi.com/journal/applsci/special_issues/5G_blockchain

Guest Editor MDPI Sensors Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/sensors/special_issues/6g_wireless_communication_systems’

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: kpsannis@uom.edu.gr

Tel: +30 2310 891 737

 

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

The authors have revised the manuscript and can be now accepted

Author Response

Dear reviewer,

We would like to thank you for your helpful comments on the paper.

Also, we would like to thank you very much for your attention and kind consideration.

Sincerely yours,

Dr. Christos L. Stergiou

Ph.D. University of Macedonia

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: c.stergiou@uom.edu.gr

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

 

Maria Koidou

Post-Doc. University of Macedonia

Email: maria_koidou@yahoo.gr

 

Prof. Kostas E. Psannis

Associate Editor IEEE Access

Associate Editor IEEE Com Letters

Guest Editor MDPI Applied Sciences Special Issue “Secure Integration of IoT & Digital Twins”

https://www.mdpi.com/journal/applsci/special_issues/1N3J910V3M

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare”

https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Applied Sciences Special Issue “Advancements in QoS/QoE for Future Networks and Their Applications” https://www.mdpi.com/journal/applsci/special_issues/PPMUH0SF3O

Guest Editor MDPI Applied Sciences Special Issue “Application of Data Analytics in Smart Healthcare” https://www.mdpi.com/journal/applsci/special_issues/Application_Data_Analytics_Smart_Healthcare

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Guest Editor MDPI Applied Sciences Topical Collection “5G Networks: Optimization, Machine Learning and Blockchain Technologies II” https://www.mdpi.com/journal/applsci/sections/computing_artificial_intelligence

Guest Editor MDPI Telecom Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/telecom/special_issues/6g_wireless_communication

Guest Editor MDPI Sensors Special Issue “Compressive Sensing-Based IoT Applications” https://www.mdpi.com/journal/sensors/special_issues/Compressive_Sensing_IoT

Guest Editor MDPI Information Special Issue “ICCCI 2020&2021: Advances in Baseband Signal Processing, Circuit Designs, and Communications” https://www.mdpi.com/journal/information/special_issues/ICCCI_2020

Guest Editor MDPI Applied Sciences Special Issue “5G Networks: Optimization, Machine Learning And Blockchain Technologies” https://www.mdpi.com/journal/applsci/special_issues/5G_blockchain

Guest Editor MDPI Sensors Special Issue “6G Wireless Communication Systems” https://www.mdpi.com/journal/sensors/special_issues/6g_wireless_communication_systems’

Guest Editor MDPI Telecom Special Issue “Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)” https://www.mdpi.com/journal/telecom/special_issues/SI_WSCE2021

Dept. of Applied Informatics

University of Macedonia

Thessaloniki, Greece

Email: kpsannis@uom.edu.gr

Tel: +30 2310 891 737

 

 

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