Title: Towards a privacy-aware stream data management system for cloud applications

Authors: Wee Siong Ng; Markus Kirchberg; Stephane Bressan; Kian-Lee Tan

Addresses: Institute for Infocomm Research, A*STAR, Singapore. ' School of Computing, National University of Singapore, Singapore. ' Centre for Maritime Studies, National University of Singapore, Singapore. ' School of Computing, National University of Singapore, Singapore

Abstract: The rapidly increasing number of sensors and devices as well as the coming of age of cloud computing are fuelling the need for real-time stream data management tools. In a world that is highly submerged in data, data analytics and higher forms of data exploitation are fundamental to most decision making processes. However, enabling such technology requires several factors related to security, privacy, performance and costing to be addressed. In this paper, we discuss the various challenges in greater detail and propose our vision of a Privacy-aware Data Stream Cloud architecture that enables secure, privacy-preserving data analytics services.

Keywords: stream data management; data privacy; cloud computing; security.

DOI: 10.1504/IJWGS.2011.043530

International Journal of Web and Grid Services, 2011 Vol.7 No.3, pp.246 - 267

Published online: 17 Apr 2015 *

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