Blockchain

ISSN: 2959-1260 (Print)

ISSN: 2958-8138 (Online)

CODEN: BLOCCW

About This Journal
Special Issues
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Blockchain and AI for Secure and Trustworthy Cyber-Physical Systems
Special Issue Editor:   Weizhi Meng, Xueqin Liang
Submission Deadline:  30 September 2026
Blockchain User Privacy and Anonymity: From Vulnerabilities to Protections
Special Issue Editor:   Xinwen Fu, Shan Wang, Yue Zhang
Submission Deadline:  31 October 2026
AI and Blockchain Convergence—Toward Decentralized, Autonomous, and Trustworthy Digital Ecosystems
Special Issue Editor:   Xiaotie Deng, Runhua Xu, Rui Qin, Xi Lin
Submission Deadline:  30 September 2026
CBDC & Stablecoin
Special Issue Editor:   Jing Chen, Jiasun Li
Submission Deadline:  31 October 2026
Latest Articles
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An ethereum-based fully distributed authentication mechanism in VANETs
Chunyan Liu,Hongkun Tian,Tao Feng,Fuliang Lin,Xiaoqin Feng
Article25 Mar 2026OPEN ACCESS

Secure and efficient identity authentication is a fundamental requirement in vehicular ad-hoc networks (VANETs); however, it remains challenging due to the highly dynamic network topology, stringent latency constraints, and the need for conditional privacy preservation. Existing authentication schemes either rely on public key infrastructures (PKI) with complex certificate management or introduce partially decentralized designs that still depend on trusted authorities, leading to inefficiencies and single points of failure. In this paper, we propose EBDA, an Ethereum-based fully distributed authentication mechanism for VANETs. The core innovation of EBDA is to replace the traditional PKI certificate system with a blockchain-maintained Graph of Trust (GoT). Through three dedicated smart contracts, EBDA  fully decentralizes the management of vehicle identities and pseudonyms. Vehicles use pseudonyms to preserve privacy in Vehicle-to-Vehicle communications, while authentication is achieved certificate-free via transitive trust within the GoT. Importantly, latency-sensitive operations like message verification are executed off-chain through local checks, meeting VANETs’ strict real-time requirements. A prototype implementation and extensive evaluations demonstrate that EBDA significantly reduces authentication latency by at least 22.93% compared with representative blockchain-assisted and PKI-based baselines while maintaining low computational and storage overhead. These results confirm the feasibility of deploying GoT-based decentralized authentication in practical VANET environments.

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Optimizing Bitcoin transaction validation with segregated witness: a single-validation approach
Shunqing Xu,Yanqi Xu,Dawei Nie,Tianang Yao,Lili Yao,Huayao Wu,Changhai Nie,Chen Tian
Article26 Feb 2026OPEN ACCESS

The Bitcoin system has operated reliably for over 16 years, attracting considerable attention due to its decentralized architecture and the inherent value of its digital assets. Nevertheless, performance limitations, especially in transaction validation, continue to impede its scalability and efficiency. In the Bitcoin network, each full node not only needs to validate a transaction when it is first received, but also needs to validate it again when it is packaged into a new block. This redundant validation mechanism reduces the overall efficiency of the Bitcoin system. Utilizing Segregated Witness technology, this paper introduces a one-time validation optimization scheme. Specifically, we leverage the Witness Transaction ID (wtxid) inherent in SegWit to build a deterministic index mapping between the local transaction pool and new candidate blocks. By checking this index, the system can identify and skip the redundant verification of transactions that have already been validated upon entry into the pool. The proposed approach eliminates the need for secondary validation when processing new blocks, specifically for transactions already stored in the local transaction pool. Through comprehensive theoretical analysis, we demonstrate that this optimization can reduce the transaction validation overhead by approximately 50% without compromising the security of the Bitcoin network. In short, our research provides an innovative solution to Bitcoin’s performance challenges, thereby contributing to its future development and long-term sustainability.

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Security analysis of blockchain-based cryptocurrency
Zekai Liu,Xiaoqi Li,Dongyang Lyu,Chunyi Zhang,Zhongwen Li
Survey20 Jan 2026OPEN ACCESS

Cryptocurrency is a novel exploration of a form of currency that proposes a decentralized  electronic payment scheme based on blockchain technology and cryptographic theory. While blockchain has the security characteristics of being distributed and tamper-proof, increasing market demand has led to a rise in malicious transactions and attacks, thereby exposing cryptocurrency to vulnerabilities,  privacy issues, and security threats. Particularly concerning are the emerging types of attacks and threats, which have made securing cryptocurrency increasingly urgent. This paper classifies existing cryptocurrency security threats and attacks into five fundamental categories based on the blockchain infrastructure, and it analyzes in detail the vulnerability principles exploited by each type of threat and attack. Furthermore, the paper examines the attackers’ logic and methods and provides insights that enable easy reproduction of the vulnerabilities. We also summarize and evaluate existing detection and defense solutions, offering important references for ensuring cryptocurrency security. Finally, the paper discusses the future development trends of cryptocurrency.

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Performance evaluation, optimization and dynamic decision in blockchain systems: a recent overview
Quan-Lin Li,Yan-Xia Chang,Qing Wang
Article02 Feb 2023OPEN ACCESS
With rapid development of blockchain technology as well as integration of various application areas, performance evaluation, performance optimization, and dynamic decision in blockchain systems are playing an increasingly important role in developing new blockchain technology. This paper provides a recent systematic overview of this class of research, and especially, developing mathematical modeling and basic theory of blockchain systems. Important examples include (a) performance evaluation: Markov processes, queuing theory, Markov reward processes, random walks, fluid and diffusion approximations, and martingale theory; (b) performance optimization:Linear programming, nonlinear programming, integer programming, and multi-objective programming; (c) optimal control and dynamic decision: Markov decision processes, and stochastic optimal control; and (d) artificial intelligence: Machine learning, deep reinforcement learning, and federated learning. So far, a little research has focused on these research lines. We believe that the basic theory with mathematical methods, algorithms and simulations of blockchain systems discussed in this paper will stronglysupport future development and continuous innovation of blockchain technology.
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A critique on decentralized finance from a social, political, and economic perspective
Zizheng Fonghu,Tsz Hon Yuen
Perspective31 Mar 2023OPEN ACCESS
Throughout the ages, social change has largely been brought as a reaction against an establishing entity or idea. Communism, for instance, was a reaction against the industrial revolution that exacerbated the exploitative nature of capitalism. Contemporarily, we are living through perhaps one of the most critical turning points in finance that began as a reaction against the solipsistic nature of Wall Street bankers prior to the 2008 financial crisis. This new movement exists within the robust ecosystem of decentralized finance (DeFi). Throughout the past decade, innovation within DeFi has grown exponentially, such that literature on its social, political, and economic effects is yet to be well-understood. Thus, this research paper intends to deconstruct the underlying socio-economic systems surrounding DeFi in order to understand, analyze,and critique its fundamental values and assumptions. The primary philosophical concern is whether decentralized finance can be a suitable substitute to the current financial system via its notions of personal financial freedom.
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Detecting phishing gangs via taint analysis on the Ethereum blockchain
Kangrui Huang,Weili Chen,Zibin Zheng
Article14 Jan 2023OPEN ACCESS
Blockchain technology has created a new cryptocurrency world and attracted a lot of attention. It also attracts scams, for example, phishing scam, a typical fraud, has been found making a notable amount of money in the blockchain ecosystem, which has a very negative impact. Considering the whole life cycle of a phishing scam, this paper proposes the concept of a phishing gang, that is, a set of accounts that serve for phishing activity and belong to the same entity on the blockchain. As phishers often use multiple accounts to commit phishing scams and money laundering, detecting phishing gangs in the blockchain ecosystem is a real and critical problem. To help deal with this issue, this paper proposes a method of detecting phishing gangs on the Ethereum blockchain. Specifically, we first construct a transaction network with a graph structure by mining the transaction record and the account labels of the Ethereum blockchain. Next, we propose the base and improvement methods of taint analysis, aiming to evaluate the taint score of each account by tracking the fund flow of phishing accounts. Then, with the results of taint analysis and some heuristic means, all accounts in the transaction network are divided into five categories. Based on this, we propose a heuristics algorithm for phishing gang detection. And we also summarize gang patterns and reveal money laundering in phishing activities. Experimental results indicate that the proposed framework can be used to build a uniform platform to monitor every account on the Ethereum blockchain for early warning of phishing scams and detection of the phishers' money laundering and cashing process.
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