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Optimizing Sensors Distribution for Enhancing WSN Intrusion Detection Probability in Euclidian's Space

by Omar Said, Alaa Elnashar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 15
Year of Publication: 2014
Authors: Omar Said, Alaa Elnashar
10.5120/18453-9498

Omar Said, Alaa Elnashar . Optimizing Sensors Distribution for Enhancing WSN Intrusion Detection Probability in Euclidian's Space. International Journal of Computer Applications. 105, 15 ( November 2014), 18-22. DOI=10.5120/18453-9498

@article{ 10.5120/18453-9498,
author = { Omar Said, Alaa Elnashar },
title = { Optimizing Sensors Distribution for Enhancing WSN Intrusion Detection Probability in Euclidian's Space },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 15 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number15/18453-9498/ },
doi = { 10.5120/18453-9498 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:47.212444+05:30
%A Omar Said
%A Alaa Elnashar
%T Optimizing Sensors Distribution for Enhancing WSN Intrusion Detection Probability in Euclidian's Space
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 15
%P 18-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intrusion detection is one of the most important issues in Wireless Sensor Networks (WSNs). WSN sensors distribution plays an important role in intrusion detection process; uniform distribution of sensors yields the same intruder detection capability for all WSN points. Many applications require different levels of security (i. e. the security level should be increased around some specific locations in WSN. Most of the related works focus on using Normal and Uniform distributions in 2D WSN applications with homogenous sensors. Many applications may be applied in 3D such as space monitoring and underwater ecosystem which still need extensive studies for intruder success probability. Sensors heterogeneity is also another important issue that should be well studied since most of intrusion detection researches focus on using homogenous sensors. So, in this paper, the normal and the uniform distributions in 3D WSN applications with heterogeneous sensors are studied. This proposed study presents two situations for intrusion detection process. In the first situation, only one sensor is enough to detect the intruder. The second situation, uses multiple sensors (k, k>1), to detect the intruder. Furthermore, the probability of intrusion detection with Normal distribution, Uniform distribution, and a mixture between them are compared. Finally, the results proved that the performance of the Normal distribution is better than the Mixture and the Uniform distributions as regard the ability of intruder detection and the general WSN efficiency.

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Index Terms

Computer Science
Information Sciences

Keywords

Intrusion Detection WSNs Sensors WSNs Security.

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