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Discrete Event Modeling and Simulation of Probabilistic Voting-based Filtering to Find Proper Security Parameters in Wireless Sensor Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 3 |
| Year of Publication: 2017 |
| Authors: Su Man Nam, Tae Ho Cho |
10.5120/ijca2017915556
|
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
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.
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