期刊
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷 13, 期 5, 页码 1169-1184出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2017.2779427
关键词
Lattice-based cryptography; attribute-based encryption; GPU computing; RLWE
资金
- US National Science Foundation CNS Award [1561536]
- Defense Advanced Research Projects Agency
- Army Research Laboratory [W911NF-15-C-0226, W911NF-15-C-0233]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1561536] Funding Source: National Science Foundation
In this paper, we report on our implementation of a lattice-based key-policy attribute-based encryption (KP-ABE) scheme, which uses short secret keys. The particular KP-ABE scheme can be used directly for attribute-based access control applications, as well as a building block in more involved applications and cryptographic schemes, such as audit log encryption, targeted broadcast encryption, functional encryption, and program obfuscation. We adapt a recently proposed KP-ABE scheme based on the learning with errors (LWE) problem to a more efficient scheme based on the ring learning with errors (RLWE) problem, and demonstrate an implementation that can be used in practical applications. Our state-of-theart implementation on graphics processing units shows that the homomorphic public key and ciphertext evaluation operations, which dominate the execution time of the KP-ABE scheme, can be performed in a reasonably short amount of time. Our practicality results also hold when scaled to a relatively large number of attributes. To the best of our knowledge, this is the first KP-ABE implementation that supports both ciphertext and public key homomorphism, and the only experimental practicality results reported in this paper.
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