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Scalable hierarchical attribute-based encryption resistant to collusion attacks

Han Zhixiang
Tian Ye
Zhang Hong
School of Computer Science & Technology, Taiyuan Normal University, Shanxi, Jinzhong 030619, China

Abstract

Attribute-based encryption in cloud storage enables fine-grained access control and enhances data security. Hierarchical attribute-based encryption schemes reduce computational and storage costs by constructing hierarchical access control strategies. However, existing schemes fall prey to collusion attacks due to parameter settings in the hierarchical access control structure and face high complexity when handling files with slightly different access policies. To address these issues, this paper proposes a scalable hierarchical attribute-based encryption algorithm that resists collusion attacks. The algorithm allows hierarchical nodes to extend during encryption, enabling files with different access policies to share the same hierarchical nodes and simplifying the encryption process for files with minor policy differences. The introduction of user identity noise vectors binds the intermediate values during decryption to individual users, preventing them from extracting sensitive information through collusion. The security analysis demonstrates that the algorithm remains secure under the CPA model. Experimental results show that the algorithm effectively resists collusion attacks while maintaining low performance overhead and significantly enhances efficiency when handling files with slightly different access policies.

Foundation Support

山西省自然科学研究面上项目(202303021221173)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.08.0347
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

韩志翔, 田野, 张虹. 具有抗共谋攻击的可扩展分层属性基加密 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.08.0347. (Han Zhixiang, Tian Ye, Zhang Hong. Scalable hierarchical attribute-based encryption resistant to collusion attacks [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.08.0347. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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