Soft Set Decision and Cluster Percolation Method-Based Policy Clustering and Encryption Optimization for CP-ABE

Wei Liu and Nurmamat Helil ()
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Wei Liu: College of Mathematics and System Science, Xinjiang University, Urumqi 830046, China
Nurmamat Helil: College of Mathematics and System Science, Xinjiang University, Urumqi 830046, China

Mathematics, 2024, vol. 12, issue 2, 1-30

Abstract: In ciphertext-policy attribute-based encryption, there might be different levels of overlapping in the access policies of different data objects outsourced by the same data owner. This paper proposes a soft set decision-making method and cluster percolation method-based policy clustering by using policy similarity for CP-ABE, aiming to merge the duplicated access policy pieces to reduce repeated computations during the encryption process of corresponding data objects. Firstly, the access policies are clustered using either the soft set decision-making or the cluster percolation method. Secondly, the access policies within the same cluster are integrated for further encryption of corresponding data objects as a whole, thereby preventing redundant computations during the encryption process and thus reducing computational overhead. Theoretical analysis and experimental results demonstrate the feasibility and effectiveness of the proposed approach in this paper.

Keywords: ciphertext-policy attribute-based encryption; shared sub-policy; soft set decision-making method; cluster percolation method (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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