Advances in Blockchain and Intelligent Computing

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".

Deadline for manuscript submissions: 27 March 2026 | Viewed by 615

Special Issue Editor


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Guest Editor
University of Chinese Academy of Sciences, Beijing, China
Interests: blockchain; cloud computing; machien learning

Special Issue Information

Dear Colleagues,

Blockchains present opportunities to establish secure trusted environments and to create a new smart ecosystem with decentralized novel infrastructure. As technology advances, such as AI and Web 3.0, AI-powered blockchain (APB) has become a promising direction and has attracted much attention. This Special Issue aims to present cutting-edge research that addresses these challenges by fostering APB, improving blockchain’s performance, data security, and intelligence level. In particular, we welcome contributions that investigate innovative approaches to blockchain’s performance optimization, blockchain-based open science, AI for blockchain, blockchain for AI, and relevant applications. By bringing together pioneering research in this area, we aim to advance understanding and implementations of efficient, trusted, smart blockchain systems in a era of AI. Please submit your work to contribute to this rapidly evolving field and help shape the future of industrial communication systems.

Dr. Haibo Wu
Guest Editor

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Keywords

  • blockchain
  • artificial intelligence
  • data governance
  • federated computing

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Published Papers (1 paper)

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Research

21 pages, 763 KB  
Article
A Blockchain-Enabled Decentralized Autonomous Access Control Scheme for Data Sharing
by Kunyang Li, Heng Pan, Yaoyao Zhang, Bowei Zhang, Ying Xing, Yuyang Zhan, Gaoxu Zhao and Xueming Si
Mathematics 2025, 13(17), 2712; https://doi.org/10.3390/math13172712 - 22 Aug 2025
Viewed by 453
Abstract
With the rapid development of artificial intelligence, multi-party collaboration based on data sharing has become an inevitable trend. However, in practical applications, shared data often originate from multiple providers. Therefore, achieving secure and efficient data sharing while protecting the rights and interests of [...] Read more.
With the rapid development of artificial intelligence, multi-party collaboration based on data sharing has become an inevitable trend. However, in practical applications, shared data often originate from multiple providers. Therefore, achieving secure and efficient data sharing while protecting the rights and interests of each data provider is a key challenge currently faced. Existing access control methods have the following shortcomings in multi-owner data scenarios. Most methods rely on centralized management, which makes it difficult to solve conflicts caused by inconsistent permission policies among multiple owners. There are problems such as poor consistency of permission management, low security, and lack of protection for the autonomous will of each owner. To this end, our paper proposes a fine-grained decentralized autonomous access control scheme based on blockchain, which includes three core stages: formulation, deployment, and execution of access control policies. In the access control policy formulation stage, the scheme constructs a multi-owner data policy matrix and introduces a benefit function based on a Stackelberg game to balance conflicting attributes to form a unified access policy. Secondly, in the access control policy deployment stage based on smart contracts, all data owners vote on the access control policy by calculating their own benefits to achieve a consensus on joint decision-making on the policy. Finally, in the policy execution and joint authorization phase, a decentralized authorization method based on threshold passwords is used to distribute access keys to each owner, ensuring that data is only granted after receiving authorization from a sufficient number of owners, thereby ensuring the ultimate control of each owner and the fine-grained access control. Finally, we verified the feasibility of the solution through case analysis and experiments. Full article
(This article belongs to the Special Issue Advances in Blockchain and Intelligent Computing)
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