Data Privacy Protection in Blockchain Systems

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

Deadline for manuscript submissions: 15 March 2026 | Viewed by 384

Special Issue Editors


E-Mail Website
Guest Editor
Department of Computing, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: blockchain; cryptography

E-Mail Website
Guest Editor
Department of Computing, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: date security; blockchain; cryptography

E-Mail Website
Guest Editor
Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China
Interests: data privacy protection; blockchain; artificial intelligence security

Special Issue Information

Dear Colleagues,

Data privacy protection has become a fundamental concern in the era of blockchain technologies, especially with the rapid development of Web3, stablecoins, decentralized finance (DeFi), and other blockchain-based applications. As blockchain systems continue to expand their influence across various sectors—including finance, healthcare, supply chains, and the digital economy—ensuring robust privacy protection for users and transactions is of paramount importance.

This Special Issue aims to address the emerging challenges and opportunities related to data privacy in blockchain environments. We are particularly interested in research that explores innovative privacy-preserving mechanisms, theoretical foundations, practical implementations, and real-world applications within blockchain and distributed ledger technologies. Topics of interest include privacy-preserving protocols and cryptographic techniques, data privacy solutions for Web3 applications and decentralized identity, and privacy challenges and solutions for stablecoins and digital assets, as well as privacy in decentralized finance and smart contract platforms. We are also keen to receive submissions on regulatory and compliance aspects, cross-chain privacy and interoperability, privacy risk assessment and mitigation, and case studies or practical deployments of privacy protection in blockchain.

We also welcome submissions beyond these topics, as long as they are relevant to data privacy protection in blockchain systems. Our aim is to encourage a broad and diverse range of contributions in this rapidly evolving field.

Dr. Zijian Bao
Dr. Yunhao Ling
Dr. Zhuangzhuang Zhang
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 250 words) can be sent to the Editorial Office for assessment.

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

  • blockchain
  • data privacy
  • Web3
  • decentralized applications

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 1433 KB  
Article
Dependability Analysis for the Blockchain Oracle System: A Quantitative Modeling Approach
by Jing Bai
Electronics 2025, 14(24), 4791; https://doi.org/10.3390/electronics14244791 - 5 Dec 2025
Viewed by 163
Abstract
Blockchain oracles, as data intermediaries between on-chain and off-chain environments, have opened up a wide range of application scenarios for blockchain technology. The dependability of a blockchain oracle system will affect the dependability of blockchain systems. However, the dynamic and heterogeneous nature of [...] Read more.
Blockchain oracles, as data intermediaries between on-chain and off-chain environments, have opened up a wide range of application scenarios for blockchain technology. The dependability of a blockchain oracle system will affect the dependability of blockchain systems. However, the dynamic and heterogeneous nature of blockchain oracle systems poses challenges to assessing their dependability. Furthermore, how to comprehensively analyze the dependability of blockchain oracle systems from multiple dimensions of transient availability, steady-state availability, and reliability is also a challenge. In order to solve these challenges, this paper proposes three models based on a semi-Markov process (SMP): (1) the SMP model for steady-state availability analysis; (2) the hierarchical model for transient analysis; and (3) the SMP model with absorption states for reliability analysis. Then, we derive the formulas for calculating the dependability metrics, which can be used to evaluate the dependability of blockchain oracle systems composed of any number of oracle nodes. Finally, based on the comparative experiments to verify the approximate accuracy of the proposed model and formulas, we analyze the impact of system parameters and the number of oracle nodes on the dependability metrics. The experimental results reveal that the key factor affecting availability is the failure time and recovery time of the threshold oracle, while the key factor affecting MTTF is the failure time of the threshold oracle. Full article
(This article belongs to the Special Issue Data Privacy Protection in Blockchain Systems)
Show Figures

Figure 1

Back to TopTop