Title: Efficient key management for publish/subscribe system in cloud scenarios

Authors: Zongmin Cui; Guangyong Gao; Caixue Zhou; Jing Yu; Anyuan Deng; Changshou Deng

Addresses: School of Information Science and Technology, Jiujiang University, China ' School of Information Science and Technology, Jiujiang University, China ' School of Information Science and Technology, Jiujiang University, China ' School of Information Science and Technology, Jiujiang University, China ' School of Information Science and Technology, Jiujiang University, China ' School of Information Science and Technology, Jiujiang University, China

Abstract: Publish/subscribe system has been well-studied for many applications. However, the key management of existing methods is not efficient enough. Therefore, we propose an efficient key management scheme based on dichotomy derivation for publish/subscribe system in cloud scenarios. The scheme derives a subscription interval to two dichotomy subscription intervals. Thus, the key management costs are logarithmic growth in base 2 with the length of subscription interval. Comparing with the linear growth of existing methods, our scheme is much more efficient for big data in cloud scenarios. Experimental results show that our scheme significantly outperforms existing methods in key management.

Keywords: key management; publish-subscribe systems; PSS; dichotomy derivation; key derivation; cloud computing; big data.

DOI: 10.1504/IJHPCN.2016.080422

International Journal of High Performance Computing and Networking, 2016 Vol.9 No.5/6, pp.489 - 498

Received: 15 Jul 2015
Accepted: 22 Aug 2015
Published online: 22 Nov 2016 *

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