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DOI: 10.14569/IJACSA.2015.061218
PDF

Intrusion Detection System in Wireless Sensor Networks: A Review

Author 1: Anush Ananthakumar
Author 2: Tanmay Ganediwal
Author 3: Dr. Ashwini Kunte

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 12, 2015.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: The security of wireless sensor networks is a topic that has been studied extensively in the literature. The intrusion detection system is used to detect various attacks occurring on sensor nodes of Wireless Sensor Networks that are placed in various hostile environments. As many innovative and efficient models have emerged in the last decade in this area, we mainly focus our work on Intrusion detection Systems. This paper reviews various intrusion detection systems which can be broadly classified based on certain traditional techniques, namely signature based, anomaly based and hybrid based. The models proposed by various researchers have been critically examined based on certain classification parameters, such as detection rate, false alarm, algorithms used, etc. This work contains a summarization study of various intrusion detection systems used particularly in Wireless Sensor Networks, and also highlights their distinct features.

Keywords: Wireless sensor networks; Intrusion Detction System; Signature based IDS; Anomaly based IDS; Hybrid based IDS; Algorithms

Anush Ananthakumar, Tanmay Ganediwal and Dr. Ashwini Kunte, “Intrusion Detection System in Wireless Sensor Networks: A Review” International Journal of Advanced Computer Science and Applications(IJACSA), 6(12), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061218

@article{Ananthakumar2015,
title = {Intrusion Detection System in Wireless Sensor Networks: A Review},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061218},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061218},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {12},
author = {Anush Ananthakumar and Tanmay Ganediwal and Dr. Ashwini Kunte}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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