Shielding against on-off attack pattern in a MANET through a trust computation scheme leveraging the behavioural consistency Online publication date: Mon, 02-Aug-2021
by Shirina Samreen
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 27, No. 2, 2021
Abstract: The evolution of security mechanisms for defending a mobile ad hoc network (MANET) is challenged through intelligent strategies employed by the attackers. The current research involves the design of a robust trust management framework (TMF) which protects the network against an attack pattern termed as on-off attack. Each dimension of the attack vector corresponding to packet droppers and dishonest recommenders employing the on-off attack pattern is countered through an individual dimension of the multi-dimensional trust vector termed as forwarding consistency trust and recommendation consistency trust respectively. The efficiency of proposed scheme in reducing the packet loss is analysed through network simulation using NS-2 under different attack scenarios. It is found that incorporation of behavioural consistency in the trust computation plays a very significant role in maintaining the network performance in the presence of on-off attackers by improving the packet delivery fraction from 71% to 85% and the detection ratio from 70% to 95% respectively.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com