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An intrusion detection & adaptive response mechanism for MANETs

Nadeem, A and Howarth, MP (2014) An intrusion detection & adaptive response mechanism for MANETs Ad Hoc Networks, 13. pp. 368-380.

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Mobile ad hoc networks are vulnerable to a variety of network layer attacks such as black hole, gray hole, sleep deprivation & rushing attacks. In this paper we present an intrusion detection & adaptive response mechanism for MANETs that detects a range of attacks and provides an effective response with low network degradation. We consider the deficiencies of a fixed response to an intrusion; and we overcome these deficiencies with a flexible response scheme that depends on the measured confidence in the attack, the severity of attack and the degradation in network performance. We present results from an implementation of the response scheme that has three intrusion response actions. Simulation results show the effectiveness of the proposed detection and adaptive response mechanisms in various attack scenarios. An analysis of the impact of our proposed scheme shows that it allows a flexible approach to management of threats and demonstrates improved network performance with a low network overhead. © 2013 Elsevier B.V. All rights reserved.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
Nadeem, A
Howarth, MP
Date : 1 February 2014
DOI : 10.1016/j.adhoc.2013.08.017
Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Ad Hoc Networks. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Ad Hoc Networks, September 7, 2013, DOI 10.1016/j.adhoc.2013.08.017.
Depositing User : Symplectic Elements
Date Deposited : 29 Oct 2013 11:12
Last Modified : 31 Oct 2017 15:14

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