20 20

Transactions on
Data Privacy
Foundations and Technologies

http://www.tdp.cat


Articles in Press

Accepted articles here

Latest Issues

Year 2017

Volume 10 Issue 2
Volume 10 Issue 1

Year 2016

Volume 9 Issue 3
Volume 9 Issue 2
Volume 9 Issue 1

Year 2015

Volume 8 Issue 3
Volume 8 Issue 2
Volume 8 Issue 1

Year 2014

Volume 7 Issue 3
Volume 7 Issue 2
Volume 7 Issue 1

Year 2013

Volume 6 Issue 3
Volume 6 Issue 2
Volume 6 Issue 1

Year 2012

Volume 5 Issue 3
Volume 5 Issue 2
Volume 5 Issue 1

Year 2011

Volume 4 Issue 3
Volume 4 Issue 2
Volume 4 Issue 1

Year 2010

Volume 3 Issue 3
Volume 3 Issue 2
Volume 3 Issue 1

Year 2009

Volume 2 Issue 3
Volume 2 Issue 2
Volume 2 Issue 1

Year 2008

Volume 1 Issue 3
Volume 1 Issue 2
Volume 1 Issue 1


Volume 7 Issue 3


Attribute Based Group Key Management

Mohamed Nabeel(a),(*), Elisa Bertino(a)

Transactions on Data Privacy 7:3 (2014) 309 - 336

Abstract, PDF

(a) 305 N. University Street, West Lafayette, IN, 47907.

e-mail:nabeel @cs.purdue.edu; bertino @cs.purdue.edu


Abstract

Attribute based systems enable fine-grained access control among a group of users each identified by a set of attributes. Secure collaborative applications need such flexible attribute based systems for managing and distributing group keys. However, current group key management schemes are not well designed to manage group keys based on the attributes of the group members. In this paper, we propose novel key management schemes that allow users whose attributes satisfy a certain access control policy to derive the group key. Our schemes efficiently support rekeying operations when the group changes due to joins or leaves of group members. During a rekey operation, the private information issued to existing members remains unaffected and only the public information is updated to change the group key. Our schemes are expressive; they are able to support any monotonic access control policy over a set of attributes. Our schemes are resistant to collusion attacks; group members are unable to pool their attributes and derive the group key which they cannot derive individually. Experimental results show that our underlying constructs are efficient and practical.

* Corresponding author.

Follow us




Supports










ISSN: 1888-5063; ISSN (Digital): 2013-1631; D.L.:B-11873-2008; Web Site: http://www.tdp.cat/
Contact: Transactions on Data Privacy; Vicenç Torra; U. of Skövde; PO Box 408; 54128 Skövde; (Sweden); e-mail:tdp@tdp.cat

 


Vicenç Torra, Last modified: 10 : 30 June 27 2015.