App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 4

Data rights confirmation schemes to defend against malicious subset rights confirmation attacks

Zhou Quan
Chen Qingru
Ye Xinqi
School Of Mathematics & Information Science, Guangzhou University, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2025.07.0285

Abstract

This study addresses the ownership disputes caused by secondary rights confirmation in data element marketization, which hinders data circulation efficiency. The research developed a structured data rights confirmation model to defend against malicious subset rights confirmation attacks. The method decomposed data into atomic feature units: categorical attributes were transformed into semantically unique orthogonal vectors via One-Hot Encoding, while numerical attributes were processed through k-means clustering to generate minimal semantic cluster center vectors. A canonical form function was designed to eliminate ordering ambiguity in feature sets. Subset ownership was determined based on set inclusion relationships, and the detection of secondary rights confirmation applications was optimized using collision-resistant hash and Bloom Filter. Experimental results demonstrated that the model improved the efficiency of detecting illegal subset rights confirmation, with an average rejection rate of 71.45% and verification time under 35 milliseconds, enabling feature-level fine-grained ownership control. The study concludes that the proposed scheme provides a computable and verifiable solution to mitigate secondary rights confirmation risks in data circulation, offering high practicality and security.

Foundation Support

国家重点研发计划(2021YFA1000600)
国家自然科学基金资助项目(12171114)
广州大学研究生创新能力培养项目(JCCX2024-012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.07.0285
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 4

Publish History

[2025-12-11] Accepted Paper

Cite This Article

周权, 陈庆儒, 叶心琪. 抵御恶意子集确权攻击的数据确权方案 [J]. 计算机应用研究, 2026, 43 (4). (2025-12-11). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0285. (Zhou Quan, Chen Qingru, Ye Xinqi. Data rights confirmation schemes to defend against malicious subset rights confirmation attacks [J]. Application Research of Computers, 2026, 43 (4). (2025-12-11). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0285. )

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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