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Electronics
Special Issues
Blockchain-Enabled Trust Management
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Blockchain-Enabled Trust Management

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 August 2024) | Viewed by 5772

Special Issue Editors

Dr. Xiaofeng Lu

E-Mail Website
Guest Editor
School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: cybersecurity; IoT security; blockchain; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Yongkai Fan

E-Mail Website
Guest Editor
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China
Interests: data security; privacy-preserving
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Trust is the foundation of Internet security. With the development of networks, the structure of the network becomes more and more complex. On the other hand, modern enterprises tend to be large-scale, and an enterprise often includes multiple functional departments. Interactions between different networks, different departments, or different individuals rely on trust. Because traditional trust management centers are often subject to network attacks and become untrustworthy, people are no longer satisfied with centralized trust management.

The essence of the blockchain is a decentralized, tamper-proof distributed ledger. As a distributed system, the blockchain can play a huge role in solving the problem of centralized trust by using its decentralization and tamper-proof characteristics. This Special Issue is aimed at addressing issues that are involved in the analysis, design, and implementation of trust management based on the blockchain. This includes:

  • Trust management
  • Trust model
  • Trust relationship
  • Trust assessment
  • Crisis of Trust
  • Zero trust
  • Dynamic Trust Management
  • Identity management
  • Authentication
  • IoT Trust Management

Dr. Xiaofeng Lu
Dr. Yongkai Fan
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

  • trust management
  • trust model
  • trust relationship
  • trust assessment
  • zero trust
  • identity management
  • authentication
  • blockchain

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Published Papers (2 papers)

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Research

21 pages, 2147 KiB  
Article
TrustHealth: Enhancing eHealth Security with Blockchain and Trusted Execution Environments
by Jun Li, Xinman Luo and Hong Lei
Electronics 2024, 13(12), 2425; https://doi.org/10.3390/electronics13122425 - 20 Jun 2024
Cited by 3 | Viewed by 2312
Abstract
The rapid growth of electronic health (eHealth) systems has led to serious security and privacy challenges, highlighting the critical importance of protecting sensitive healthcare data. Although researchers have employed blockchain to tackle data management and sharing within eHealth systems, substantial privacy concerns persist [...] Read more.
The rapid growth of electronic health (eHealth) systems has led to serious security and privacy challenges, highlighting the critical importance of protecting sensitive healthcare data. Although researchers have employed blockchain to tackle data management and sharing within eHealth systems, substantial privacy concerns persist as a primary challenge. In this paper, we introduce TrustHealth, a secure data sharing system that leverages trusted execution environment (TEE) and blockchain technology. TrustHealth leverages blockchain to design smart contracts to offer robust hashing protection for patients’ healthcare data. We provide a secure execution environment for SQLCipher, isolating all sensitive operations of healthcare data from the untrusted environment to ensure the confidentiality and integrity of the data. Additionally, we design a TEE-empowered session key generation protocol that enables secure authentication and key sharing for both parties involved in data sharing. Finally, we implement TrustHealth using Hyperledger Fabric and ARM TrustZone. Through security and performance evaluation, TrustHealth is shown to securely process massive encrypted data flows at a rate of 5000 records per second, affirming the feasibility of our proposed scheme. We believe that TrustHealth offers valuable guidelines for the design and implementation of similar systems, providing a valuable contribution to ensuring the privacy and security of eHealth systems. Full article
(This article belongs to the Special Issue Blockchain-Enabled Trust Management)
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20 pages, 3502 KiB  
Article
TEEDAG: A High-Throughput Distributed Ledger Based on TEE and Directed Acyclic Graph
by Xiaofeng Lu and Cheng Jiang
Electronics 2023, 12(11), 2393; https://doi.org/10.3390/electronics12112393 - 25 May 2023
Cited by 4 | Viewed by 2421
Abstract
With the arrival of the 5G era, the Internet of Things (IoT) has entered a new stage, and the amount of IoT data is growing rapidly. The traditional blockchain cannot handle massive amounts of data, which presents scalability challenges for blockchain technology. Existing [...] Read more.
With the arrival of the 5G era, the Internet of Things (IoT) has entered a new stage, and the amount of IoT data is growing rapidly. The traditional blockchain cannot handle massive amounts of data, which presents scalability challenges for blockchain technology. Existing blockchain improvement technologies such as off-chain payments, protocol improvements, and sharding techniques have performance bottlenecks and limitations in the data, which is rapidly growing. The blockchain is fundamentally a decentralized distributed ledger, and the traditional chain structure is inadequate for addressing concerns such as forks, double-spending attacks, and other factors in the current IoT landscape. In this paper, we propose a high-throughput distributed ledger based on Directed Acyclic Graph (DAG) named TEEDAG. We design a consensus algorithm based on self-referencing parallel chains combined with Trusted Execution Environment (TEE) to ensure the security of the consensus process. The experiment proves that TEEDAG demonstrates a significantly higher throughput compared to traditional blockchain solutions and offers improved security and efficiency compared to existing DAG-based distributed ledger solutions. Full article
(This article belongs to the Special Issue Blockchain-Enabled Trust Management)
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