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Blockchain and Cloud Computing for Internet of Things

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 8306

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Special Issue Editors

Prof. Dr. Juan M. Corchado

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Guest Editor

1. BISITE Research Group, University of Salamanca, 37007 Salamanca, Spain
2. Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
3. Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
Interests: artificial intelligence; smart cities; smart grids
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Dr. Bo Mei

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Guest Editor

Department of Computer Science, Texas Christian University, Fort Worth, TX 76129, USA
Interests: machine learning; Internet of Things
Special Issues, Collections and Topics in MDPI journals

Dr. Jinghuey Khor

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Guest Editor

School of Electronics and Computer Sciences, University of Southampton Malaysia, Iskandar Puteri, Malaysia
Interests: privacy preserving protocols; Radio Frequency Identification Technology (RFID); Internet of Things (IoT); blockchain technology

Special Issue Information

Dear Colleagues,

IoT is generally characterized by real world and constrained devices with limited capacity and, therefore, consequential issues such as less reliability, security, and privacy. Cloud computing on the other hand deals mainly with the virtual world and has unlimited capabilities in terms of storage and processing power. Thus, the cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner.

A blockchain is a distributed database that is shared among the nodes of a computer network. Blockchain technologies allow the IoT devices to exchange collected data with each other or send them to a cloud server securely and reliably. The decentralized autonomy, tamper resistance, and security of blockchain technology propose a new solution to minimize the potential weaknesses and risks of IoT.

The aim of this Special Issue is to provide a forum for the scientists to present their latest research results and perspectives for future work in the blockchain, IoT and cloud computing field.

The topics of interest include, but are not limited to, the following:

Internet of Things;
Blockchain for Internet of Things;
Enterprise asset management with IoT and blockchain;
Facilities management with IoT and blockchain;
System engineering with IoT and blockchain;
IoT platform based on blockchain;
Cloud computing;
Data computing;
Machine Learning/Pattern recognition;
AI/ Signal processing.

Prof. Dr. Juan M. Corchado
Dr. Bo Mei
Dr. Jinghuey Khor
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

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Research

17 pages, 3096 KiB

Open AccessArticle

A Trusted Reputation Management Scheme for Cross-Chain Transactions

by Kuongho Chen, Lin-Fa Lee, Wayne Chiu, Chunhua Su, Kuo-Hui Yeh and Han-Chieh Chao

Sensors 2023, 23(13), 6033; https://doi.org/10.3390/s23136033 - 29 Jun 2023

Viewed by 1216

Abstract

Blockchain has become a well-known, secured, decentralized datastore in many domains, including medical, industrial, and especially the financial field. However, to meet the requirements of different fields, platforms that are built on blockchain technology must provide functions and characteristics with a wide variety of options. Although they may share similar technology at the fundamental level, the differences among them make data or transaction exchange challenging. Cross-chain transactions have become a commonly utilized function, while at the same time, some have pointed out its security loopholes. It is evident that a secure transaction scheme is desperately needed. However, what about those nodes that do not behave? It is clear that not only a secure transaction scheme is necessary, but also a system that can gradually eliminate malicious players is of dire need. At the same time, integrating different blockchain systems can be difficult due to their independent architectures, and cross-chain transactions can be at risk if malicious attackers try to control the nodes in the cross-chain system. In this paper, we propose a dynamic reputation management scheme based on the past transaction behaviors of nodes. These behaviors serve as the basis for evaluating a node’s reputation to support the decision on malicious behavior and enable the system to intercept it in a timely manner. Furthermore, to establish a reputation index with high precision and flexibility, we integrate Particle Swarm Optimization (PSO) into our proposed scheme. This allows our system to meet the needs of a wide variety of blockchain platforms. Overall, the article highlights the importance of securing cross-chain transactions and proposes a method to prevent misbehavior by evaluating and managing node reputation. Full article

(This article belongs to the Special Issue Blockchain and Cloud Computing for Internet of Things)

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19 pages, 597 KiB

Open AccessArticle

Blockchain-Based Supply Chain Systems, Interoperability Model in a Pharmaceutical Case Study

by Yeray Mezquita, Blaž Podgorelec, Ana Belén Gil-González and Juan Manuel Corchado

Sensors 2023, 23(4), 1962; https://doi.org/10.3390/s23041962 - 09 Feb 2023

Cited by 1 | Viewed by 2223

Abstract

The main purpose of supply chain systems based on blockchain technology is to take advantage of technology innovations to ensure that a tracked asset’s audit trail is immutable. However, the challenge lies in tracking the asset among different blockchain-based supply chain systems. The model proposed in this paper has been designed to overcome the identified challenges. Specifically, the proposed model enables: (1) the asset to be tracked among different blockchain-based supply-chain systems; (2) the tracked asset’s supply chain to be cryptographically verified; (3) a tracked asset to be defined in a standardized format; and (4) a tracked asset to be described with several different standardized formats. Thus, the model provides a great advantage in terms of interoperability between different blockchain-driven supply chains over other models in the literature, which will need to replicate the information in each blockchain platform they operate with, while giving flexibility to the platforms that make use of it and maintain the scalability of those logistic platforms. This work aims to examine the application of the proposed model from an operational point of view, in a scenario within the pharmaceutical sector. Full article

(This article belongs to the Special Issue Blockchain and Cloud Computing for Internet of Things)

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23 pages, 2451 KiB

Open AccessArticle

A Blockchain and Fingerprinting Traceability Method for Digital Product Lifecycle Management

by Jose Luis Gonzalez-Compean, Victor Jesus Sosa-Sosa, Jose Juan Garcia-Hernandez, Hiram Galeana-Zapien and Hugo German Reyes-Anastacio

Sensors 2022, 22(21), 8400; https://doi.org/10.3390/s22218400 - 01 Nov 2022

Cited by 1 | Viewed by 1790

Abstract

The rise of digitalization, sensory devices, cloud computing and internet of things (IoT) technologies enables the design of novel digital product lifecycle management (DPLM) applications for use cases such as manufacturing and delivery of digital products. The verification of the accomplishment/violations of agreements defined in digital contracts is a key task in digital business transactions. However, this verification represents a challenge when validating both the integrity of digital product content and the transactions performed during multiple stages of the DPLM. This paper presents a traceability method for DPLM based on the integration of online and offline verification mechanisms based on blockchain and fingerprinting, respectively. A blockchain lifecycle registration model is used for organizations to register the exchange of digital products in the cloud with partners and/or consumers throughout the DPLM stages as well as to verify the accomplishment of agreements at each DPLM stage. The fingerprinting scheme is used for offline verification of digital product integrity and to register the DPLM logs within digital products, which is useful in either dispute or violation of agreements scenarios. We built a DPLM service prototype based on this method, which was implemented as a cloud computing service. A case study based on the DPLM of audios was conducted to evaluate this prototype. The experimental evaluation revealed the ability of this method to be applied to DPLM in real scenarios in an efficient manner. Full article

(This article belongs to the Special Issue Blockchain and Cloud Computing for Internet of Things)

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22 pages, 3952 KiB

Open AccessArticle

A Hybrid Service Selection and Composition for Cloud Computing Using the Adaptive Penalty Function in Genetic and Artificial Bee Colony Algorithm

by Seyed Salar Sefati and Simona Halunga

Sensors 2022, 22(13), 4873; https://doi.org/10.3390/s22134873 - 28 Jun 2022

Cited by 19 | Viewed by 1671

Abstract

The rapid development of Cloud Computing (CC) has led to the release of many services in the cloud environment. Service composition awareness of Quality of Service (QoS) is a significant challenge in CC. A single service in the cloud environment cannot respond to the complex requests and diverse requirements of the real world. In some cases, one service cannot fulfill the user’s needs, so it is necessary to combine different services to meet these requirements. Many available services provide an enormous QoS and selecting or composing those combined services is called an Np-hard optimization problem. One of the significant challenges in CC is integrating existing services to meet the intricate necessities of different types of users. Due to NP-hard complexity of service composition, many metaheuristic algorithms have been used so far. This article presents the Artificial Bee Colony and Genetic Algorithm (ABCGA) as a metaheuristic algorithm to achieve the desired goals. If the fitness function of the services selected by the Genetic Algorithm (GA) is suitable, a set of services is further introduced for the Artificial Bee Colony (ABC) algorithm to choose the appropriate service from, according to each user’s needs. The proposed solution is evaluated through experiments using Cloud SIM simulation, and the numerical results prove the efficiency of the proposed method with respect to reliability, availability, and cost. Full article

(This article belongs to the Special Issue Blockchain and Cloud Computing for Internet of Things)

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