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A Research on the Malicious Node Detection in Wireless Sensor Network
Nagarjun S1, Santosh Anand2, Somnath Sinha3

1Nagarjun S, Department of Computer Science, Amrita School of Arts & Sciences, Mysuru, Amrita Vishwa Vidyapeetham (Tamil Nadu), India.
2Santosh Anand, Department of Computer Science, Amrita School of Arts & Sciences, Mysuru, Amrita Vishwa Vidyapeetham (Tamil Nadu), India.
3Somnath Sinha, Department of Computer Science, Amrita School of Arts & Sciences, Mysuru, Amrita Vishwa Vidyapeetham (Tamil Nadu), India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1802-1805 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7610068519/19©BEIESP
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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: Wireless Sensor Network (WSN) has been looked into broadly in the course of recent years. WSN were first utilized by the military for reconnaissance purposes and have since ventured into modern and regular citizen uses, for example, climate, contamination, traffic control, and human services. There are a few research difficulties, one part of remote sensor arranges on which inquire about has been directed is the security of remote sensor systems. These systems are powerless against programmers who may assault in WSN. A case of this would be an adversary seizing an automaton and inspiring it to assault inviting powers. In this proposed work, security for WSN is concerned. Detection of a fake node in the network is the main part. Using common scenarios, we can spot an attack and a malicious node in the network. By calculating the packet drop, throughput, and residual energy. These are demonstrated in ns2, thereby proposed scheme helps to achieve in detecting the fake node.
Keywords: Energy, Packet drop, Throughput, Wireless sensor network.

Scope of the Article: WSN