Open Access

ARTICLE

Weighted Attribute Based Conditional Proxy Re-Encryption in the Cloud

Xixi Yan¹, Jing Zhang^2,*, Pengyu Cheng²

1 Henan Key Laboratory of Network Cryptography Technology, Network Information Security and Cryptography Laboratory, School of Software, Henan Polytechnic University, Jiaozuo, 454003, China
2 School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, 454000, China

* Corresponding Author: Jing Zhang. Email:

(This article belongs to the Special Issue: Challenges and Innovations in Multimedia Encryption and Information Security)

Computers, Materials & Continua 2025, 83(1), 1399-1414. https://doi.org/10.32604/cmc.2025.059969

Received 21 October 2024; Accepted 21 January 2025; Issue published 26 March 2025

Abstract

Conditional proxy re-encryption (CPRE) is an effective cryptographic primitive language that enhances the access control mechanism and makes the delegation of decryption permissions more granular, but most of the attribute-based conditional proxy re-encryption (AB-CPRE) schemes proposed so far do not take into account the importance of user attributes. A weighted attribute-based conditional proxy re-encryption (WAB-CPRE) scheme is thus designed to provide more precise decryption rights delegation. By introducing the concept of weight attributes, the quantity of system attributes managed by the server is reduced greatly. At the same time, a weighted tree structure is constructed to simplify the expression of access structure effectively. With conditional proxy re-encryption, large amounts of data and complex computations are outsourced to cloud servers, so the data owner (DO) can revoke the user’s decryption rights directly with minimal costs. The scheme proposed achieves security against chosen plaintext attacks (CPA). Experimental simulation results demonstrated that the decryption time is within 6–9 ms, and it has a significant reduction in communication and computation cost on the user side with better functionality compared to other related schemes, which enables users to access cloud data on devices with limited resources.

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Keywords

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