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Survey on Revocation in Ciphertext-Policy Attribute-Based Encryption

Al-Dahhan, R, Shi, Q, Lee, GM and Kifayat, K (2019) Survey on Revocation in Ciphertext-Policy Attribute-Based Encryption. Sensors, 19 (7). ISSN 1424-8220

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Open Access URL: http://dx.doi.org/10.3390/s19071695 (Published version)


Recently, using advanced cryptographic techniques to process, store, and share data securely in an untrusted cloud environment has drawn widespread attention from academic researchers. In particular, Ciphertext‐Policy Attribute‐Based Encryption (CP‐ABE) is a promising, advanced type of encryption technique that resolves an open challenge to regulate fine‐grained access control of sensitive data according to attributes, particularly for Internet of Things (IoT) applications. However, although this technique provides several critical functions such as data confidentiality and expressiveness, it faces some hurdles including revocation issues and lack of managing a wide range of attributes. These two issues have been highlighted by many existing studies due to their complexity which is hard to address without high computational cost affecting the resource‐limited IoT devices. In this paper, unlike other survey papers, existing single and multiauthority CP‐ABE schemes are reviewed with the main focus on their ability to address the revocation issues, the techniques used to manage the revocation, and comparisons among them according to a number of secure cloud storage criteria. Therefore, this is the first review paper analysing the major issues of CP‐ABE in the IoT paradigm and explaining the existing approaches to addressing these issues.

Item Type: Article
Uncontrolled Keywords: 0301 Analytical Chemistry, 0906 Electrical and Electronic Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: MDPI AG
Date Deposited: 10 Apr 2019 09:34
Last Modified: 03 Sep 2021 21:09
DOI or ID number: 10.3390/s19071695
URI: https://researchonline.ljmu.ac.uk/id/eprint/10530
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