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A Dynamic Prime Number Based Efficient Security Mechanism for Big Sensing Data Streams

Lookup NU author(s): Dr Deepak PuthalORCiD, Professor Raj Ranjan



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


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.

Publication metadata

Author(s): Puthal D, Nepal S, Ranjan R, Chen J

Publication type: Article

Publication status: Published

Journal: Journal of Computer and System Sciences

Year: 2017

Volume: 83

Issue: 1

Pages: 22-42

Print publication date: 01/02/2017

Online publication date: 10/03/2016

Acceptance date: 02/02/2016

Date deposited: 20/08/2017

ISSN (print): 0022-0000

ISSN (electronic): 1090-2724

Publisher: Elsevier


DOI: 10.1016/j.jcss.2016.02.005


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Funder referenceFunder name
AISRF - 08140Australia India Strategic Research Grant "Innovative Solutions for Big Data and Disaster Management Applications on Clouds" from Department of Industry, Australia
LP140100816Australian Research Council Linkage Project ARC