Publication Type
Journal Article
Version
publishedVersion
Publication Date
11-2022
Abstract
Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is one of the potent encryption paradigms in protecting data confidentiality in the cloud data sharing scenario. However, the access policy of the traditional CP-ABE is in plaintext form that reveals significant sensitive information of data owners and data visitors. To mitigate this problem, two approaches have been proposed in the literature. One is partially hidden, where the attributes in the access policy are divided into two parts: the plaintext attribute names and the hidden attribute values. The other approach fully hides the attributes in the access policy which, unfortunately, hinders efficient and correct decryption as well as dynamic policy-updating. In this article, we design a security-enhanced Attribute Cuckoo Filter (se-ACF) to hide the access policy and propose a new CP-ABE system, called Privacy-Preserving Policy Updating ABE (3PU-ABE), which effectively integrates policy hiding and policy updating. We conduct rigorous security analysis and performance evaluation of 3PU-ABE. The results indicate that 3PU-ABE completely hides the access policy without affecting the decryption, and entails better policy-updating efficiency than similar works.
Keywords
Cloud Computing, Security, Encryption, Data Privacy, Servers, Computer Science, Voltage Control, Ciphertext Policy Attribute Based Encryption, Cloud Data Sharing, Privacy Preserving, Policy Updating, Policy Hiding
Discipline
Information Security
Research Areas
Cybersecurity
Areas of Excellence
Digital transformation
Publication
IEEE Transactions on Services Computing
Volume
15
Issue
6
First Page
3485
Last Page
3498
ISSN
1939-1374
Identifier
10.1109/TSC.2021.3096177
Publisher
Institute of Electrical and Electronics Engineers
Citation
YING, Zuobin; JIANG, Wenjie; LIU, Ximeng; XU, Shengmin; and DENG, Robert H..
Reliable policy updating under efficient policy hidden fine-grained access control framework for cloud data sharing. (2022). IEEE Transactions on Services Computing. 15, (6), 3485-3498.
Available at: https://ink.library.smu.edu.sg/sis_research/10199
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TSC.2021.3096177