Research Article
Discrete Event Modeling and Simulation of Probabilistic Voting-based Filtering to Find Proper Security Parameters in Wireless Sensor Networks
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 176 - Issue 3 |
| Published: Oct 2017 |
| Authors: Su Man Nam, Tae Ho Cho |
10.5120/ijca2017915556
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Su Man Nam, Tae Ho Cho . Discrete Event Modeling and Simulation of Probabilistic Voting-based Filtering to Find Proper Security Parameters in Wireless Sensor Networks. International Journal of Computer Applications. 176, 3 (Oct 2017), 21-26. DOI=10.5120/ijca2017915556
@article{ 10.5120/ijca2017915556,
author = { Su Man Nam,Tae Ho Cho },
title = { Discrete Event Modeling and Simulation of Probabilistic Voting-based Filtering to Find Proper Security Parameters in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 176 },
number = { 3 },
pages = { 21-26 },
doi = { 10.5120/ijca2017915556 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Su Man Nam
%A Tae Ho Cho
%T Discrete Event Modeling and Simulation of Probabilistic Voting-based Filtering to Find Proper Security Parameters in Wireless Sensor Networks%T
%J International Journal of Computer Applications
%V 176
%N 3
%P 21-26
%R 10.5120/ijca2017915556
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In wireless sensor networks (WSNs), sensor nodes are vulnerable to false vote and false report injection attacks since they are widely deployed without infrastructure. Although some en-route filtering schemes can effectively detect the two attacks, these schemes need to set up various security factors before deploying the sensors in a sensor field. In this paper, we use a simulation model and find the proper security factors for a security scheme in a real-world simulation environment. We demonstrate that the scheme achieves better energy savings and detection power when the number of required message authentication codes (MACs) in a report is five and the number of detected MACs is two.
References
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