A Perspective to Adopt Continuous Dynamic Cognition for Malicious Node Detection in Heterogeneous Networks

Sunilkumar, G and Thriveni, J and Venugopal, KR and Patnaik, LM (2015) A Perspective to Adopt Continuous Dynamic Cognition for Malicious Node Detection in Heterogeneous Networks. In: International Conference on Information and Communication Technologies (ICICT), DEC 03-05, 2014, Kochi, INDIA, pp. 997-1004.

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Abstract

The current day networks use Proactive networks for adaption to the dynamic scenarios. The use of cognition technique based on the Observe, Orient, Decide and Act loop (OODA) is proposed to construct proactive networks. The network performance degradation in knowledge acquisition and malicious node presence is a problem that exists. The use of continuous time dynamic neural network is considered to achieve cognition. The variance in service rates of user nodes is used to detect malicious activity in heterogeneous networks. The improved malicious node detection rates are proved through the experimental results presented in this paper. (C) 2015 The Authors. Published by Elsevier B.V.

Item Type:	Conference Proceedings
Series.:	Procedia Computer Science
Publisher:	ELSEVIER SCIENCE BV
Additional Information:	Copy right for this article belongs to the ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Keywords:	Cognitive Networks; Network Security; Dynamic Neural Networks; Malicious node detection; Proactive Networks
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	30 Sep 2015 07:01
Last Modified:	30 Sep 2015 07:01
URI:	http://eprints.iisc.ac.in/id/eprint/52493

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