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Attribute-based signatures with efficient revocation

Lian, Yanling, Xu, Li and Huang, Xinyi 2013, Attribute-based signatures with efficient revocation, in INCOS 2013 : Proceedings of the 5th International Conference on Intelligent Networking and Collaborative Systems, IEEE, Piscataway, N.J., pp. 573-577, doi: 10.1109/INCoS.2013.106.

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Title Attribute-based signatures with efficient revocation
Author(s) Lian, Yanling
Xu, Li
Huang, Xinyi
Conference name Intelligent Networking and Collaborative Systems. Conference (5th : 2013 : Xi'an, China)
Conference location Xi'an, China
Conference dates 9-11 Sep. 2013
Title of proceedings INCOS 2013 : Proceedings of the 5th International Conference on Intelligent Networking and Collaborative Systems
Editor(s) [Unknown]
Publication date 2013
Conference series International Conference on Intelligent Networking and Collaborative Systems
Start page 573
End page 577
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) attribute-based signature
revocation
privacy protection
Summary Based signatures (ABS for short) allow an entity to sign messages with a fine-grained control over identity information. The signature attests not to the identity of the individual who endorsed a message, but instead to a claim regarding the attributes he/she holds. ABS has been well investigated since its introduction but little has been done on the revocation in ABS. In this paper, we divide ABS revocation as fine-grained attribute-revocation and coarse-grained user-revocation. The latter is the focus of this paper, and we present a concrete design-to address the issue of coarse-grained user-revocation in ABS without the need of any other third parties.
ISBN 9780769549880
Language eng
DOI 10.1109/INCoS.2013.106
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30064209

Document type: Conference Paper
Collection: School of Information Technology
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