Publication Type
Journal Article
Version
acceptedVersion
Publication Date
5-2020
Abstract
With the development of cloud computing, many enterprises have been interested in outsourcing their data to cloud servers to decrease IT costs and rise capabilities of provided services. To afford confidentiality and fine-grained data access control, attribute-based encryption (ABE) was proposed and used in several cloud storage systems. However, scalability and flexibility in key delegation and user revocation mechanisms are primary issues in ABE systems. In this paper, we introduce the concept of a fully distributed revocable ciphertext-policy hierarchical ABE (FDR-CP-HABE) and design the first FDR-CP-HABE scheme. Our scheme offers a high level of flexibility and scalability in the key delegation and user revocation phases. Moreover, our scheme is efficient and provides lightweight computation in the decryption phase. Indeed, by exploiting a computation outsourcing technique, most of the operations are executed by the powerful cloud server, and very few computations are left to the users. Also, the storage cost on the user side is significantly decreased as compared to similar schemes. Furthermore, using the hardness assumption of DBDH problem, we prove that our scheme is adaptively secure in the standard model. Our security analyses and implementation results indicate that our scheme is efficient, secure, and scalable. (C) 2020 Elsevier B.V. All rights reserved.
Keywords
Cloud computing, Hierarchical attribute-based encryption, Ciphertext-policy attribute-based encryption, Access control
Discipline
Information Security
Research Areas
Cybersecurity
Publication
Theoretical Computer Science
Volume
815
First Page
25
Last Page
46
ISSN
0304-3975
Identifier
10.1016/j.tcs.2020.02.030
Publisher
Elsevier
Citation
Ali Mohammad; MOHAJERI, Javad; LIU, Ximeng; and LIU, Ximeng.
A fully distributed hierarchical attribute-based encryption scheme. (2020). Theoretical Computer Science. 815, 25-46.
Available at: https://ink.library.smu.edu.sg/sis_research/5148
Copyright Owner and License
Authors
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/10.1016/j.tcs.2020.02.030