Progress in Cryptology – AFRICACRYPT 2014
Volume 8469 of the series Lecture Notes in Computer Science pp 377-397
Anonymous IBE from Quadratic Residuosity with Improved Performance
- Michael ClearAffiliated withSchool of Computer Science and Statistics, Trinity College Dublin
- , Hitesh TewariAffiliated withSchool of Computer Science and Statistics, Trinity College Dublin
- , Ciarán McGoldrickAffiliated withSchool of Computer Science and Statistics, Trinity College Dublin
Abstract
Identity Based Encryption (IBE) has been constructed from bilinear pairings, lattices and quadratic residuosity. The latter is an attractive basis for an IBE owing to the fact that it is a well-understood hard problem from number theory. Cocks constructed the first such scheme, and subsequent improvements have been made to achieve anonymity and improve space efficiency. However, the anonymous variants of Cocks’ scheme thus far are all less efficient than the original. In this paper, we present a new universally-anonymous IBE scheme based on the quadratic residuosity problem. Our scheme has better performance than the universally anonymous scheme from Ateniese and Gasti (CT-RSA 2009) at the expense of more ciphertext expansion.
Keywords
Identity Based Encryption Anonymous IBE Cocks Scheme Quadratic Residuosity- Title
- Anonymous IBE from Quadratic Residuosity with Improved Performance
- Book Title
- Progress in Cryptology – AFRICACRYPT 2014
- Book Subtitle
- 7th International Conference on Cryptology in Africa, Marrakesh, Morocco, May 28-30, 2014. Proceedings
- Pages
- pp 377-397
- Copyright
- 2014
- DOI
- 10.1007/978-3-319-06734-6_23
- Print ISBN
- 978-3-319-06733-9
- Online ISBN
- 978-3-319-06734-6
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- 8469
- Series ISSN
- 0302-9743
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- Additional Links
- Topics
- Keywords
-
- Identity Based Encryption
- Anonymous IBE
- Cocks Scheme
- Quadratic Residuosity
- Industry Sectors
- eBook Packages
- Editors
-
-
David Pointcheval
(15)
-
Damien Vergnaud
(15)
-
David Pointcheval
- Editor Affiliations
-
- 15. Computer Science Department, Ecole Normale Supérieure
- Authors
-
- Michael Clear (16)
- Hitesh Tewari (16)
- Ciarán McGoldrick (16)
- Author Affiliations
-
- 16. School of Computer Science and Statistics, Trinity College Dublin, Ireland
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