Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
6-2014
Abstract
Attribute-based encryption (ABE), introduced by Sahai and Waters, is a promising cryptographic primitive, which has been widely applied to implement fine-grained access control system for encrypted data. In its key-policy flavor, attribute sets are used to annotate ciphertexts and secret keys are associated with access structures that specify which ciphertexts a user is entitled to decrypt. In most existing key-policy attribute-based encryption (KP-ABE) constructions, the size of the ciphertext is proportional to the number of attributes associated with it and the decryption cost is proportional to the number of attributes used during decryption. In this paper, we present a new construction of KP-ABE. Our proposed construction is the first KP-ABE scheme, which has the following features simultaneously: expressive (i.e., supporting arbitrary monotonic access structures); fully secure in the standard model; constant-size ciphertexts and fast decryption. The downside of our construction is that secret keys have quadratic size in the number of attributes.
Keywords
Key-Policy, Attribute-Based Encryption, Full Security, Constant-Size Ciphertexts, Fast Decryption
Discipline
Information Security
Research Areas
Cybersecurity
Publication
ASIA CCS'14: Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security: June 4-6, 2014, Kyoto, Japan
First Page
239
Last Page
248
ISBN
9781450328005
Identifier
10.1145/2590296.2590334
Publisher
ACM
City or Country
New York
Citation
LAI, Junzuo; DENG, Robert H.; LI, Yingjiu; and WENG, Jian.
Fully secure key-policy attribute-based encryption with constant-size ciphertexts and fast decryption. (2014). ASIA CCS'14: Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security: June 4-6, 2014, Kyoto, Japan. 239-248.
Available at: https://ink.library.smu.edu.sg/sis_research/2603
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/10.1145/2590296.2590334