TY - GEN
T1 - Privacy-preserving public auditing for shared cloud data supporting group dynamics
AU - Wang, Boyang
AU - Li, Hui
AU - Li, Ming
N1 - Funding Information:
The authors wish to acknowledge many discussions on the topic of this article with Prof. Reza Moheimani, Dr. Junlin Xiong, Dr. Sourav Patra, and Zhuoyue Song. They also wish to acknowledge financial support from the Australian Research Council, the Engineering and Physical Sciences Research Council, and the Royal Society.
PY - 2013
Y1 - 2013
N2 - In the cloud, data is often shared by a group of users. To ensure the long-term correctness of cloud shared data, a third-party public verifier can be introduced to audit data integrity. During the auditing, protecting the privacy of the contributors of shared data from the public auditor is a fundamental issue. However, this makes it challenging to simultaneously support group membership dynamics efficiently, due to the significant amount of computation needed to update the signatures on shared data. In this paper, we propose a novel privacy-preserving public auditing mechanism for shared cloud data. With our proposed mechanism, a public verifier is able to audit the integrity of shared data without retrieving the entire data from the cloud, and also without learning private identity information of the group members. Group dynamics (user join and user revocation) are efficiently handled by outsourcing signature updating operations to the cloud via a secure proxy re-signature scheme. Experimental results show that our mechanism is highly efficient for dynamic groups.
AB - In the cloud, data is often shared by a group of users. To ensure the long-term correctness of cloud shared data, a third-party public verifier can be introduced to audit data integrity. During the auditing, protecting the privacy of the contributors of shared data from the public auditor is a fundamental issue. However, this makes it challenging to simultaneously support group membership dynamics efficiently, due to the significant amount of computation needed to update the signatures on shared data. In this paper, we propose a novel privacy-preserving public auditing mechanism for shared cloud data. With our proposed mechanism, a public verifier is able to audit the integrity of shared data without retrieving the entire data from the cloud, and also without learning private identity information of the group members. Group dynamics (user join and user revocation) are efficiently handled by outsourcing signature updating operations to the cloud via a secure proxy re-signature scheme. Experimental results show that our mechanism is highly efficient for dynamic groups.
UR - http://www.scopus.com/inward/record.url?scp=84891354182&partnerID=8YFLogxK
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U2 - 10.1109/ICC.2013.6654808
DO - 10.1109/ICC.2013.6654808
M3 - Conference contribution
AN - SCOPUS:84891354182
SN - 9781467331227
T3 - IEEE International Conference on Communications
SP - 1946
EP - 1950
BT - 2013 IEEE International Conference on Communications, ICC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE International Conference on Communications, ICC 2013
Y2 - 9 June 2013 through 13 June 2013
ER -