Mitigation of Blackhole Attack on MANETs using ABC and ANN Algorithm
Tanmaya Kharyal1, C. Rama Krishna2
1Tanmaya Kharyal, Department of Computer Science and Engineering, NITTTR, Chandigarh, India.
2C. Rama Krishna, Department of Computer Science and Engineering, NITTTR, Chandigarh, India.
Manuscript received on 24 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1893-1898 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8461078919/19©BEIESP | DOI: 10.35940/ijitee.I8461.078919
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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: Mobile ad hoc network (MANET) is an important field of research that comprises of moveable nodes. These nodes communicate with each other through wireless links. Therefore, it becomes essential to design a secure network as it finds applications in different fields where data and communication are important like that in defense areas and disaster rescue operations. This paper focuses on detecting Blackhole nodes in MANETs and preventing it from the same. In this work, Ad hoc On-Demand Distance Vector (AODV) is employed as a routing mechanism and a secure network is established using Artificial Bee Colony (ABC) algorithm as an optimization technique in combination with Artificial Neural Network (ANN) as a classification algorithm to identify the Blackhole nodes. Simulations are carried out in MATLAB and the efficiency of the network in terms of Throughput, Packet Delivery Ratio (PDR), End-to-End Delay and Energy Consumption are measured. Throughput and PDR have been increased by 11.11%, 4.9 %, whereas end- to- end delay has been reduced by 4.93% as compared to existing work proposed by Ashish et al.[6].
Keywords: MANET, Blackhole Node, AODV, ABC, ANN.
Scope of the Article: Algorithm Engineering