Advances in Blockchain-enabled Internet of Things (IoT)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 7592

Special Issue Editors

Department of Computing and Decision Sciences, Lingnan University, 8 Castle Peak Road, Tuen Mun, Hong Kong
Interests: cyberphysical systems; wireless networks; distributed systems
Special Issues, Collections and Topics in MDPI journals
Department of Computing, Macquarie University, Sydney, NSW 2109, Australia
Interests: service computing; IoT security and reliability analysis
Special Issues, Collections and Topics in MDPI journals
School of Software Engineering, Sun Yat-sen University, Guangzhou 510275, China
Interests: blockchain; smart contracts; services computing

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is reshaping our daily lives due to a myriad of applications, such as smart industry, smart healthcare, smart transportation systems, and smart homes, where various sensors, smart meters and IoT devices are deployed. Diverse IoT devices have generated massive valuable data. However, existing IoT systems also possess the following limitations: i) poor interoperability across diverse IoT systems, ii) security vulnerabilities of IoT systems, iii) privacy leakage of IoT data.

The advances of blockchain bring opportunities to overcome the above IoT challenges. Blockchain possessing key features such as decentralization, immutability, transparency, nonrepudiation, traceability has the potential to strengthen the IoT ecosystem. Thus, it becomes a trend to investigate blockchain-enabled IoT, whereas there are still many technical barriers to be overcome before the full adoption of blockchain for IoT systems.

This Special Issue of Applied Sciences solicits high-quality original contributions to blockchain-enabled IoT systems. The potential topics include the following (but are not limited to):

  • Authentication management of blockchain-enabled IoT systems;
  • Edge/cloud computing for blockchain-enabled IoT;
  • Software-defined networks for blockchain-enabled IoT systems;.
  • Network slicing mechanisms for blockchain-enabled IoT systems;
  • Service computing for blockchain-enabled IoT;
  • Big data analytics in blockchain-enabled IoT systems;
  • Blockchain-based solutions to security, privacy and trust of IoT systems;
  • Novel machine learning/deep learning approaches for blockchain-enabled IoT systems;
  • Novel Blockchain-enabled IoT applications;
  • Platform development for blockchain-enabled IoT systems;
  • Smart contracts for blockchain-enabled IoT systems;
  • Scalability and fault tolerance mechanisms for blockchain-enabled IoT systems;
  • Distributed consensus algorithms for Blockchain-enabled IoT;
  • Empirical studies, benchmarking, and industrial best practices for blockchain-enabled IoT systems.

Dr. Hong-Ning Dai
Dr. Xi Zheng
Prof. Dr. Zibin Zheng
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Internet of Things
  • sensors
  • blockchain
  • security
  • privacy

Published Papers (3 papers)

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Research

19 pages, 2657 KiB  
Article
Smart Contract-Enabled Secure Sharing of Health Data for a Mobile Cloud-Based E-Health System
by P. Chinnasamy, Ashwag Albakri, Mudassir Khan, A. Ambeth Raja, Ajmeera Kiran and Jyothi Chinna Babu
Appl. Sci. 2023, 13(6), 3970; https://doi.org/10.3390/app13063970 - 21 Mar 2023
Cited by 15 | Viewed by 2896
Abstract
Healthcare comprises the largest revenue and data boom markets. Sharing knowledge about healthcare is crucial for research that can help healthcare providers and patients. Several cloud-based applications have been suggested for data sharing in healthcare. However, the trustworthiness of third-party cloud providers remains [...] Read more.
Healthcare comprises the largest revenue and data boom markets. Sharing knowledge about healthcare is crucial for research that can help healthcare providers and patients. Several cloud-based applications have been suggested for data sharing in healthcare. However, the trustworthiness of third-party cloud providers remains unclear. The third-party dependency problem was resolved using blockchain technology. The primary objective of this growth was to replace the distributed system with a centralized one. Therefore, security is a critical requirement for protecting health records. Efforts have been made to implement blockchain technology to improve the security of this sensitive material. However, existing methods depend primarily on information obtained from medical examinations. Furthermore, they are ineffective for sharing continuously produced data streams from sensors and other monitoring devices. We propose a trustworthy access control system that uses smart contracts to achieve greater security while sharing electronic health records among various patients and healthcare providers. Our concept offers an active resolution for secure data sharing in mobility computing while protecting personal health information from potential risks. In assessing existing data sharing models, the framework valuation and protection approach recognizes increases in the practicality of lightweight access control architecture, low network expectancy, and significant levels of security and data concealment. Full article
(This article belongs to the Special Issue Advances in Blockchain-enabled Internet of Things (IoT))
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18 pages, 4288 KiB  
Article
Improving IoT Data Security and Integrity Using Lightweight Blockchain Dynamic Table
by Saleem S. Hameedi and Oguz Bayat
Appl. Sci. 2022, 12(18), 9377; https://doi.org/10.3390/app12189377 - 19 Sep 2022
Cited by 5 | Viewed by 1992
Abstract
Over the past few years, the Internet of Things (IoT) is one of the most significant technologies ever used, as everything is connected to the Internet. Integrating IoT technologies with the cloud improves the performance, activity, and innovation of such a system. However, [...] Read more.
Over the past few years, the Internet of Things (IoT) is one of the most significant technologies ever used, as everything is connected to the Internet. Integrating IoT technologies with the cloud improves the performance, activity, and innovation of such a system. However, one of the major problems which cannot be ignored in such integration is the security of the data that are transferred between the client (IoT) and the server (cloud). Solving that problem leads to the use the of IoT technologies in more critical applications and fields. This paper proposes a new security framework by combining blockchain technology with the AES algorithm. Blockchain technology is used and modified to protect data integrity and generate unique device identification within minimal power consumption and best performance. The AES algorithm is used to improve the data confidentiality when being transmitted to the server. The outcomes demonstrated that the proposed solution improves the security system of the IoT healthcare data and proved its efficiency and power consumption compared to other methods. Full article
(This article belongs to the Special Issue Advances in Blockchain-enabled Internet of Things (IoT))
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17 pages, 5274 KiB  
Article
On the Design and Implementation of a Blockchain-Based Data Management System for ETO Manufacturing
by Zhengjun Jing, Niuping Hu, Yurong Song, Bo Song, Chunsheng Gu and Lei Pan
Appl. Sci. 2022, 12(18), 9184; https://doi.org/10.3390/app12189184 - 13 Sep 2022
Cited by 2 | Viewed by 1626
Abstract
Engineer-to-order (ETO) is a currently popular production model that can meet customers’ individual needs, for which the orders are primarily non-standard parts or small batches. This production model has caused many management challenges, including the difficulty of tracing the production process data of [...] Read more.
Engineer-to-order (ETO) is a currently popular production model that can meet customers’ individual needs, for which the orders are primarily non-standard parts or small batches. This production model has caused many management challenges, including the difficulty of tracing the production process data of products and the inability to monitor order status in real-time. In this paper, by analyzing the steps of ETO manufacturing and the business process between departments in the manufacturing industry, a blockchain-based process data management system (BPDMS) is proposed. The immutable nature of the blockchain data ensures the data’s validity and consistency in each production step. Furthermore, by embedding the sequential aggregate signature in the system, the sequence verification of discrete process steps can be completed in time. Finally, an electrical equipment assembly production platform is used to discuss the specific implementation on top of the Hyperledger Fabric, a permissioned blockchain. The experiment results show that the proposed system effectively manages the process data of ETO-type production, and the real-time querying of the production status of the orders. Full article
(This article belongs to the Special Issue Advances in Blockchain-enabled Internet of Things (IoT))
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