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Electronics
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Blockchain and loT: Security and Privacy Advancements, Integration, Opportunities and...
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Blockchain and loT: Security and Privacy Advancements, Integration, Opportunities and Open Issues

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 April 2025) | Viewed by 13535

Special Issue Editors

Dr. Dimitrios G. Kogias

E-Mail Website
Guest Editor
Department of Electrical @ Electronics Engineering, University of West Attica, GR12241 Egaleo, Greece
Interests: distributed ledger technologies; blockchain; Internet of Things; identity/device management; edge computing
Special Issues, Collections and Topics in MDPI journals
Dr. Panagiotis A. Karkazis

E-Mail Website
Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, GR12243 Athens, Greece
Interests: embedded systems; IoT; cloud computing; SDN/NFV
Special Issues, Collections and Topics in MDPI journals
Dr. Michael G. Xevgenis

E-Mail Website
Guest Editor
Department of Electrical @ Electronics Engineering, University of West Attica, GR12241 Egaleo, Greece
Interests: cloud compuitng; blockchain; SDN/NFV

Special Issue Information

Dear Colleagues,

The evolution of the IoT-enabled devices has been remarkable along with their consistent use in our everyday lives. At the same time, the volume of data generated by them (either in communication messages or in measurements) is also increasing intermittently allowing the use of Cloud computing applications and Big Data solutions for the management, processing, storing, sharing, and visualization of the data.

In addition, blockchain has been receiving a lot of interest, far beyond the initial idea of an electronic system for payments. Frequently seen as a modern distributed database, able to guarantee immutability and security of the recorded transaction data in untrusted environments, away from single point of failures, blockchain has been considered as a potential match for IoT to achieve better efficiency, security and trust to the adopting systems. Examples of use cases where these two technologies combine their potential include (but are not limited to): health care, device identities, resource management, energy generation and consumption, and more.

In this Special Issue, original research articles and reviews that address and report on implementation and possibilities of the combination of these two disruptive technologies are welcome. In particular, this Special Issue invites works that include (but are not limited to) the following resdearch areas:

  • Blockchain IoT applications;
  • Smart contracts for IoT applications;
  • Decentralized identities for IoT devices;
  • Evaluation of blockchain nodes in IoT ecosystems;
  • Governance in IoT systems;
  • Blockchain security;
  • Integration of blockchain—IoT solutions;
  • Trust in IoT systems;
  • DLT-based applications for IoT;
  • Machine-to-machine communications using blockchain;
  • Token economy for IoT applications;
  • Blockchains in the 5G (and beyond) ecosystem;
  • Smart contracts applied in next generation networks (NGNs);
  • NFT applications on IoT systems;
  • Optimal resource allocation;
  • Destributed ZeroTouch management of virtualized resources.

We look forward to receiving your contributions.

Dr. Dimitrios G. Kogias
Dr. Panagiotis A. Karkazis
Dr. Michael G. Xevgenis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Electronics 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

  • IoT
  • blockchain
  • DLTs
  • D-apps
  • smart contracts
  • M2M communications
  • security
  • NGNs
  • NFTs
  • marketplace

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Published Papers (3 papers)

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Research

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16 pages, 1064 KiB  
Article
Data Sharing Scheme of Smart Grid Based on Identity Condition Proxy Re-Encryption
by Lihua Zhang, Qianqian Yang, Yi Yang, Shihong Chen and Jinguang Gu
Electronics 2024, 13(1), 139; https://doi.org/10.3390/electronics13010139 - 28 Dec 2023
Cited by 1 | Viewed by 1473
Abstract
A large amount of high-value data are stored in smart grid data centers, but since the resource diversity of a single data center is limited, data sharing becomes especially important in conducting an effective data mining process. However, traditional data-sharing models often use [...] Read more.
A large amount of high-value data are stored in smart grid data centers, but since the resource diversity of a single data center is limited, data sharing becomes especially important in conducting an effective data mining process. However, traditional data-sharing models often use centralized schemes without authentication of the shared objects, making it difficult to establish trust relationships and ensure data privacy. This makes it difficult to break through the problem of data islands. To solve the above problems, this paper proposes a blockchain-based data-sharing incentive model for edge smart grid scenarios. First, the model uses blockchain and proxy re-encryption technology to achieve the security and traceability of the smart grid data-sharing process. Secondly, the data-sharing incentive algorithm is designed using game theory to maximize the willingness of data owners to share data. Finally, the model in this paper is compared and analyzed with other existing data-sharing models, and the designed performance test shows that the scheme in this paper has significant advantages over the other literature schemes in terms of functionality and computational overhead, and the increase in costs is not significant, and the model can meet the requirements for large-scale data sharing in edge smart grid scenarios. Full article
(This article belongs to the Special Issue Blockchain and loT: Security and Privacy Advancements, Integration, Opportunities and Open Issues)
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Review

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22 pages, 1710 KiB  
Review
Decentralized Identity Management for Metaverse-Enhanced Education: A Literature Review
by Maria Polychronaki, Michael G. Xevgenis, Dimitrios G. Kogias and Hellen C. Leligou
Electronics 2024, 13(19), 3887; https://doi.org/10.3390/electronics13193887 - 30 Sep 2024
Cited by 2 | Viewed by 1440
Abstract
As we transition into the era of Web 3.0, where decentralized information and user privacy are paramount, emerging technologies are reshaping the way in which personal data are managed. This paper focuses on decentralized identity management (DID) in the metaverse, particularly within the [...] Read more.
As we transition into the era of Web 3.0, where decentralized information and user privacy are paramount, emerging technologies are reshaping the way in which personal data are managed. This paper focuses on decentralized identity management (DID) in the metaverse, particularly within the education sector, which has rapidly embraced digital tools for e-learning, especially since the COVID-19 pandemic. Technologies such as blockchain, artificial intelligence (AI), and virtual and augmented reality (VR/AR) are increasingly integrated into educational platforms, raising questions about privacy, security, and interoperability. This literature review examines the current landscape of DID in metaverse-based educational applications. Through a systematic methodology, relevant academic papers were identified, filtered, and analyzed based on four key criteria: standardization, interoperability, application scalability, and security/privacy considerations. The paper provides a comparative analysis of these papers to assess the maturity of DID implementations, highlight existing challenges, and suggest future research directions in the intersection of decentralized identity and educational metaverse applications. Full article
(This article belongs to the Special Issue Blockchain and loT: Security and Privacy Advancements, Integration, Opportunities and Open Issues)
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36 pages, 2275 KiB  
Review
Blockchain Forensics: A Systematic Literature Review of Techniques, Applications, Challenges, and Future Directions
by Hany F. Atlam, Ndifon Ekuri, Muhammad Ajmal Azad and Harjinder Singh Lallie
Electronics 2024, 13(17), 3568; https://doi.org/10.3390/electronics13173568 - 8 Sep 2024
Cited by 5 | Viewed by 9223
Abstract
Blockchain technology has gained significant attention in recent years for its potential to revolutionize various sectors, including finance, supply chain management, and digital forensics. While blockchain’s decentralization enhances security, it complicates the identification and tracking of illegal activities, making it challenging to link [...] Read more.
Blockchain technology has gained significant attention in recent years for its potential to revolutionize various sectors, including finance, supply chain management, and digital forensics. While blockchain’s decentralization enhances security, it complicates the identification and tracking of illegal activities, making it challenging to link blockchain addresses to real-world identities. Also, although immutability protects against tampering, it introduces challenges for forensic investigations as it prevents the modification or deletion of evidence, even if it is fraudulent. Hence, this paper provides a systematic literature review and examination of state-of-the-art studies in blockchain forensics to offer a comprehensive understanding of the topic. This paper provides a comprehensive investigation of the fundamental principles of blockchain forensics, exploring various techniques and applications for conducting digital forensic investigations in blockchain. Based on the selected search strategy, 46 articles (out of 672) were chosen for closer examination. The contributions of these articles were discussed and summarized, highlighting their strengths and limitations. This paper examines the selected papers to identify diverse digital forensic frameworks and methodologies used in blockchain forensics, as well as how blockchain-based forensic solutions have enhanced forensic investigations. In addition, this paper discusses the common applications of blockchain-based forensic frameworks and examines the associated legal and regulatory challenges encountered in conducting a forensic investigation within blockchain systems. Open issues and future research directions of blockchain forensics were also discussed. This paper provides significant value for researchers, digital forensic practitioners, and investigators by providing a comprehensive and up-to-date review of existing research and identifying key challenges and opportunities related to blockchain forensics. Full article
(This article belongs to the Special Issue Blockchain and loT: Security and Privacy Advancements, Integration, Opportunities and Open Issues)
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