Lookup NU author(s): Dr Deepak Puthal,
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.
Author(s): Puthal D, Nepal S, Ranjan R, Chen J
Publication type: Article
Publication status: Published
Journal: Journal of Computer and System Sciences
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
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