International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,November 2017,

Topic : Detection and mitigation of Black hole attack in MANET using Artificial intelligence technique

Authors:Saurabh Kumar || Anjani Garg

Abstract:MANET (Mobile ad hoc network) is a self-governing network that comprises of moveable nodes that communicates with each other through wireless links. To find the route from source to destination, different routing protocols named as proactive, reactive and hybrid routing protocols are used. In the proposed work, AODV (Ad-hoc on demand) routing protocol is used. It is a packet routing protocol which is designed to use in MANET. Every node maintains a routing table that contains information about the destination node. In MANET, normally, numbers of attacks are routing protocol attacks. This research has dealt in detecting and mitigating black hole attack. The black hole attack is one of the well known security threat occurs in MANET. A black hole attack occurs due to malicious nodes that attract the data packet by addressing a false route. In the proposed work, ABC (Artificial Bee Colony) algorithm is used to optimize the route from source to destination. ANN (Artificial Neural network) is used to detect and prevent the network from black hole attack. The simulation is carried out in MATLAB simulator and the performance parameters, namely, throughput, packet delivery ratio, delay are measured...

Keywords: MANET (Mobile Ad-hoc network), AODV (Ad-hoc on demand), ABC (Artificial Bee Colony), ANN (Artificial Neural network)

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DOI: 01.1617/vol4/iss11/pid86093


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Dr. Allon Guez
Professor, Drexel University,
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Journal Code : IJERCSE
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