Special Issues
Table of Content

Recent Advances in Blockchain Technology and Applications

Submission Deadline: 10 April 2026 View: 550 Submit to Special Issue

Guest Editors

Prof. Kuo-Hui Yeh

Email: khyeh@nycu.edu.tw

Affiliation: Institute of Artificial Intelligence Innovation, National Yang Ming Chiao Tung University, Hsinchu, 300093, Taiwan

Homepage:

Research Interests: blockchain, IoT security, NFC/RFID security, authentication, data privacy, cryptology, OT security, security audit, and risk assessment

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Prof. Hu Xiong

Email: xionghu@uestc.edu.cn

Affiliation: School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

Homepage:

Research Interests: applied cryptography, aritificial intelligence, blockchain

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Assoc. Prof. Chunhua Su

Email: chsu@u-aizu.ac.jp

Affiliation: Division of Computer Science, University of Aizu, Fukushima, 965-8580, Japan

Homepage:

Research Interests: preserving technology in big data, security, and privacy for IoT devices, cryptanalysis, and cryptographic protocols

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Assoc. Prof. Wei-Che Chien

Email: wcc@gms.ndhu.edu.tw

Affiliation: Department of Computer Science and Information Engineering, National Dong Hwa University,  Hualien City, 174, Taiwan

Homepage:

Research Interests: federated learning, beyond 5G (B5G) mobile networks, artificial intelligence of things (AIoT), fog computing, and cloud computing

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Summary

Blockchain technology has evolved rapidly from its origin in cryptocurrencies to a foundational infrastructure driving innovation across multiple domains, including finance, supply chain, healthcare, smart cities, and the Internet of Things (IoT). With recent developments in consensus mechanisms, scalability solutions, privacy-preserving techniques, and interoperability, blockchain is transitioning from conceptual models to practical, large-scale deployments.

This special issue aims to gather high-quality and original research that reflects the latest theoretical advances, technical innovations, and practical applications of blockchain technologies. We welcome both foundational contributions and domain-specific implementations that address real-world challenges through blockchain-based solutions.

Topics of Interest include, but are not limited to:
· Novel blockchain consensus mechanisms and protocols
· Lightweight and scalable blockchain solutions
· Blockchain interoperability and cross-chain technologies
· Blockchain for IoT, edge, and mobile computing
· Privacy and security in blockchain systems
· Blockchain in finance, insurance, and decentralized finance (DeFi)
· Supply chain and logistics applications using blockchain
· Blockchain-based identity management and authentication
· Smart contract security, verification, and formal methods
· Governance, ethics, and regulatory frameworks for blockchain
· Blockchain for healthcare, energy systems, and smart cities
· AI and machine learning integration with blockchain
· Case studies and real-world deployment experiences

We invite both academic researchers and industry practitioners to contribute their recent work and share insights that will shape the future of blockchain research and innovation.


Keywords

Blockchain, Security, Applications

Published Papers


  • Open Access

    ARTICLE

    Blockchain-Enabled AI Recommendation Systems Using IoT-Asisted Trusted Networks

    Mekhled Alharbi, Khalid Haseeb, Mamoona Humayun
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.073832
    (This article belongs to the Special Issue: Recent Advances in Blockchain Technology and Applications)
    Abstract The Internet of Things (IoT) and cloud computing have significantly contributed to the development of smart cities, enabling real-time monitoring, intelligent decision-making, and efficient resource management. These systems, particularly in IoT networks, rely on numerous interconnected devices that handle time-sensitive data for critical applications. In related approaches, trusted communication and reliable device interaction have been overlooked, thereby lowering security when sharing sensitive IoT data. Moreover, it incurs additional energy consumption and overhead while addressing potential threats in the dynamic environment. In this research, an Artificial Intelligence (AI) recommended fault-tolerant framework is proposed that leverages blockchain More >

  • Open Access

    ARTICLE

    ISTIRDA: An Efficient Data Availability Sampling Scheme for Lightweight Nodes in Blockchain

    Jiaxi Wang, Wenbo Sun, Ziyuan Zhou, Shihua Wu, Jiang Xu, Shan Ji
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.073237
    (This article belongs to the Special Issue: Recent Advances in Blockchain Technology and Applications)
    Abstract Lightweight nodes are crucial for blockchain scalability, but verifying the availability of complete block data puts significant strain on bandwidth and latency. Existing data availability sampling (DAS) schemes either require trusted setups or suffer from high communication overhead and low verification efficiency. This paper presents ISTIRDA, a DAS scheme that lets light clients certify availability by sampling small random codeword symbols. Built on ISTIR, an improved Reed–Solomon interactive oracle proof of proximity, ISTIRDA combines adaptive folding with dynamic code rate adjustment to preserve soundness while lowering communication. This paper formalizes opening consistency and prove security… More >

  • Open Access

    ARTICLE

    HATLedger: An Approach to Hybrid Account and Transaction Partitioning for Sharded Permissioned Blockchains

    Shuai Zhao, Zhiwei Zhang, Junkai Wang, Ye Yuan, Guoren Wang
    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073315
    (This article belongs to the Special Issue: Recent Advances in Blockchain Technology and Applications)
    Abstract With the development of sharded blockchains, high cross-shard rates and load imbalance have emerged as major challenges. Account partitioning based on hashing and real-time load faces the issue of high cross-shard rates. Account partitioning based on historical transaction graphs is effective in reducing cross-shard rates but suffers from load imbalance and limited adaptability to dynamic workloads. Meanwhile, because of the coupling between consensus and execution, a target shard must receive both the partitioned transactions and the partitioned accounts before initiating consensus and execution. However, we observe that transaction partitioning and subsequent consensus do not require… More >

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