DDOS Attack Detection And Handling Mechanism In WSN
Amit Dogra1, Taqdir2
1Amit Dogra, Assistant Professor, Department of Computer Science and Engineering at SoET, BGSB University Rajouri (J&K).
2Dr. Taqdir, Assistant Professor, Department of Computer Science and Engineering, Guru Nanak Dev University, R/C Gurdaspur.
Manuscript received on 06 August 2019. | Revised Manuscript received on 14 August 2019. | Manuscript published on 30 September 2019. | PP: 4990-4993 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5644098319/2019©BEIESP | DOI: 10.35940/ijrte.C5644.098319
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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: TWireless sensor network(WSN) uses in many distinct applications including real time event detection. Sensor nodes(SN) have limited energy associated with them that is required to be conserved. Once all the energy of the sensors is drained, then network dies. In addition sensor nodes are exposed to everyone hence SN is susceptible to attacks. Distributed denial of service attack is one of the common attacks caused by malicious attacker causing congestion and decay in lifetime of the network. DDOS attack floods network with the bogus requests. This causes the legitimate request to be avoided by the server due to lack of resources. Detection and prevention of such attacks thus becomes critical. This paper provides study of techniques used to detect DDOS attack along with suggest modification for improving classification accuracy in the detection techniques. in addition this paper also highlight other metrics such as mean time to failure and mean time between failure for improving the detection process.
Keywords: Wireless Sensor Network, Distributed Denial of Service Attack, Mean Time Between Failure, Mean Time to Failure.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks