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: 15 October 2024 | Viewed by 1499

Special Issue Editors


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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

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

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

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Keywords

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

Published Papers (1 paper)

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Research

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
Viewed by 701
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
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