Agrawal, Shweta, Bhattacherjee, Sanjay, Phan, Duong Hieu, Stehlé, Damien, Yamada, Shota (2017) Efficient Public Trace and Revoke from Standard Assumptions. In: Proceedings of the ACM Conference on Computer and Communications Security. Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security. . pp. 2277-2293. Association for Computing Machinery, New York- United States ISBN 978-1-4503-4946-8. (doi:10.1145/3133956.3134041) (KAR id:83284)
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Official URL: https://doi.org/10.1145/3133956.3134041 |
Abstract
We provide efficient constructions for trace-and-revoke systems with public traceability in the black-box confirmation model. Our constructions achieve adaptive security, are based on standard assumptions and achieve significant efficiency gains compared to previous constructions.
Our constructions rely on a generic transformation from inner product functional encryption (IPFE) schemes to trace-and-revoke systems. Our transformation requires the underlying IPFE scheme to only satisfy a very weak notion of security -- the attacker may only request a bounded number of random keys -- in contrast to the standard notion of security where she may request an unbounded number of arbitrarily chosen keys. We exploit the much weaker security model to provide a new construction for bounded collusion and random key IPFE from the learning with errors assumption (LWE), which enjoys improved efficiency compared to the scheme of Agrawal et al. [CRYPTO'16].
Together with IPFE schemes from Agrawal et al., we obtain trace and revoke from LWE, Decision Diffie Hellman and Decision Composite Residuosity.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1145/3133956.3134041 |
Uncontrolled keywords: | Inner-product functional encryption; Trace-and-revoke; Public traceability |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing University-wide institutes > Institute of Cyber Security for Society |
Depositing User: | Sanjay Bhattacherjee |
Date Deposited: | 06 Oct 2020 10:45 UTC |
Last Modified: | 05 Nov 2024 12:49 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/83284 (The current URI for this page, for reference purposes) |
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