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.

Attached Files
Name Description MIMEType Size Downloads

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
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

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 41 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Wed, 11 Jun 2014, 12:48:59 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact