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Behaviour Visualization for Malicious-Attacker Node Collusion in MANET Based on Probabilistic Approach
Current Issue
Volume 2, 2015
Issue 3 (May)
Pages: 10-19   |   Vol. 2, No. 3, May 2015   |   Follow on         
Paper in PDF Downloads: 40   Since Aug. 28, 2015 Views: 2743   Since Aug. 28, 2015
Rashidah F. Olanrewaju, Kulliyyah of Engineering, International Islamic University Malaysia, Kualalumpur, Malaysia.
Burhan Ul Islam Khan, Department of Computer Science & Engineering, Islamic University of Science & Technology, Awantipora, Kashmir, India.
Roohie Naaz Mir, Department of Computer Science & Engineering, National Institute of Technology, Srinagar, Kashmir, India.
Balogun Wasiu Adebayo, Lagos State Polytechnic, Ikorodu, Nigeria.
Inspite of wide range of exploration towards the mitigation techniques for malicious nodes in past few years, the effective solutions for addressing the behavioral pattern of malicious nodes are still largely unfound. One of the most challenging dynamics related to this issue is an effective visualization of malicious nodes in the considered simulation techniques. As the malicious nodes will never adopt any strategies which has fairer chances of getting detected, hence, they will perform much confusive behavior based on which it is almost difficult to identify whether it is regular node or malicious node. The current paper accentuates the potentials of game theory considering multi-attacker collusion as the new enhancement that can effectively represent the various unpredictable actions of node cooperation, node declination, node attacks, as well as node reporting that can model the tactical profiling of various mobile nodes.
Node Misbehaviour, Mobile Adhoc Network, Malicious Nodes, Routing Misbehaviour, PBE
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