Intrusion Detection Systems
Ashwini V. Jatti1, V. J. K. Kishor Sonti2
1S Ashwini V. Jatti, Research Scholar, Department of ECE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Dr. V. J. K. Kishor Sonti, Associate Professor, Department of ECE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 20 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3976-3983 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15400982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1540.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Intrusion Detection System is competent to detect the intrusions and alerting the administrator of system about the signs of possible intrusions. This paper presents a detailed review of the intrusion detection techniques used in WSNs. More specifically, the existing methods for blackhole and sinkhole attacks detection are reviewed. However, it is noted that most intrusion detection schemes proposed in the literature are either inefficient or have low detection rates/high false positive rates. This survey also highlights the research gap in this domain and provides better scope for the advanced work.
Keywords: Intrusion Detection; Blackhole; Sinkhole; Detection Rate; Wireless Sensor Networks.
Scope of the Article: Expert Systems