Detection of Clone Attacks in Manets using Ant Colony Optimization
Anubha1, R P S Bedi2
1Anubha, Research Scholar*, I.K. Gujral Punjab Technical University, Kapurthala.
2Dr. Ravneet Preet Singh Bedi, Research Scholar, I.K. Gujral Punjab Technical University, Kapurthala.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 17, 2020. | Manuscript published on April 30, 2020. | PP: 426-429 | Volume-9 Issue-4, April 2020. | Retrieval Number: C6297029320/2020©BEIESP | DOI: 10.35940/ijeat.C6297.049420
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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 and mobile computing enables the spontaneous networking of a system with or without previous set-up. Mobile Ad Hoc Network (MANET) is a Wi-Fi grid that has already been developed and does not require an existing infrastructure for a specific extemporaneous operation. Any node can then connect or exit the network, which will permit the attacker to access the whole system. These networks are liable to various attacks. This paper directs detection of the clone attack from MANETs in which the attacker node steals the id of the closing node, twin it and attracts all the data towards it. ACO noticed the clone attack and measured performance based on the packet drops, packet delivery ratio and network throughput.
Keywords: Network Security, Ant Colony Optimization (ACO), Hybrid ACO, Clone attack, PDR