Data Security and Privacy in Blockchain and the IoT

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

Deadline for manuscript submissions: 15 June 2025 | Viewed by 1523

Special Issue Editors


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Guest Editor
Department of Industrial and Systems Engineering, the Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: blockchain; Internet of things; cyber–physical systems; data security and privacy

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Guest Editor
Department of Computer Science, Hong Kong Baptist University, Hong Kong 999077, China
Interests: Internet of things; blockchain; big data analytics
Special Issues, Collections and Topics in MDPI journals
School of Computer Science, Hangzhou Dianzi University, Hangzhou 310000, China
Interests: big data; blockchain; database
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global big data market is experiencing tremendous growth, driven by advancements in the IoT, cloud computing, and AI technologies; however, the development of big data techniques is hindered by growing data security and privacy concerns. Blockchain, which emerged as a novel distributed consensus scheme, allows transactions and any other data to be securely stored and verified without the need for any centralized and trusted authority. Due to its unique characteristics, blockchain technology has become a popular choice for many application areas, such as e-government, healthcare, social network, finance, supply chain management, and smart manufacturing.

This Special Issue provides a platform for researchers, academics, and industry professionals to present their research work on data security and privacy in blockchain and the IoT. This Special Issue aims to address the challenges and issues of using blockchain and IoT technologies to design decentralized applications and services in various domains.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Data security challenges and solutions in decentralized and IoT applications.
  • Data privacy protection in blockchain systems.
  • Access control in decentralized applications for the IoT.
  • Blockchain-driven decentralized services and applications.
  • Novel architectures of blockchain-based decentralized services.
  • Detecting malicious smart contracts in decentralized applications.
  • Cloud/edge/fog/big data management protocols by using blockchain.
  • Distributed consensus mechanisms.
  • Security and privacy issues with blockchain for the IoT.
  • Software tools, platforms, and frameworks for decentralized applications and services.
  • Improving data transparency using blockchain technology.

Dr. Zhe Peng
Dr. Hong-Ning Dai
Dr. Yu Li
Guest Editors

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Keywords

  • data security
  • privacy protection
  • blockchain
  • IoT
  • decentralized applications

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Published Papers (1 paper)

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Research

18 pages, 4756 KiB  
Article
GENES: An Efficient Recursive zk-SNARK and Its Novel Application in Blockchain
by Jiaxi Liu, Li Guo and Tianyu Kang
Electronics 2025, 14(3), 492; https://doi.org/10.3390/electronics14030492 - 25 Jan 2025
Viewed by 1208
Abstract
The rapid development of blockchain has significantly promoted research on zero-knowledge proofs (ZKPs), especially zero-knowledge succinct noninteractive arguments of knowledge (zk-SNARK). As is well known, protocol proof and verification time, as well as proof size, are the main obstacles that restrict the implementation [...] Read more.
The rapid development of blockchain has significantly promoted research on zero-knowledge proofs (ZKPs), especially zero-knowledge succinct noninteractive arguments of knowledge (zk-SNARK). As is well known, protocol proof and verification time, as well as proof size, are the main obstacles that restrict the implementation of ZKPs in practical applications, so they have become the main concerns of researchers in recent years. This work achieves a new recursive zk-SNARK called GENES, which does not have a trusted setup and is secure under the standard discrete logarithm assumption. GENES is designed from the form of the rank-1 constraint system (R1CS) satisfiability problem. Recursive proof composition is achieved by merging multiple R1CS instances, which transforms the verification of numerous proofs into the verification of a single proof. Moreover, multi-helpers amortize proof commitments in this study, significantly reducing the computational pressure and time cost of proof generation. Compared with previous work, GENES effectively improves the proof time and verification time, but at the cost of larger proof sizes. We provide a blockchain Layer-1 scaling solution leveraging GENES to demonstrate its practicality. Full article
(This article belongs to the Special Issue Data Security and Privacy in Blockchain and the IoT)
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