Journal
JOURNAL OF COMPUTER AND SYSTEM SCIENCES
Volume 83, Issue 1, Pages 22-42Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcss.2016.02.005
Keywords
Security; Sensor networks; Big data stream; Key exchange; Security verification
Funding
- Australia India Strategic Research Grant Innovative Solutions for Big Data and Disaster Management Applications on Clouds from Department of Industry, Australia [AISRF - 08140]
- Australian Research Council Linkage Project ARC [LP140100816]
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Big data streaming has become an important paradigm for real-time processing of massive continuous data flows in large scale sensing networks. While dealing with big sensing data streams, a Data Stream Manager (DSM) must always verify the security (i.e. authenticity, integrity, and confidentiality) to ensure end-to-end security and maintain data quality. Existing technologies are not suitable, because real time introduces delay in data stream. In this paper, we propose a Dynamic Prime Number Based Security Verification (DPBSV) scheme for big data streams. Our scheme is based on a common shared key that updated dynamically by generating synchronized prime numbers. The common shared key updates at both ends, i.e., source sensing devices and DSM, without further communication after handshaking. Theoretical analyses and experimental results of our DPBSV scheme show that it can significantly improve the efficiency of verification process by reducing the time and utilizing a smaller buffer size in DSM. (C) 2016 Elsevier Inc. All rights reserved.
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