Detection of clone node attack in mobile wireless sensor network with optimised cost function
by Mohammad Hassan Ansari; Vahid Tabataba Vakili
International Journal of Sensor Networks (IJSNET), Vol. 24, No. 3, 2017

Abstract: Clone attack is considered as the most important security challenge of wireless sensor networks. In this paper, an innovative distributed approach for the detection of clone node attack is proposed, that is robust against smart attacker in mobile wireless sensor networks. Previously proposed approaches suffer disadvantages such as memory and communication overheads, probability of false alarm and high detection time, however, the detection approach proposed here takes advantage of introducing the observer position concept and hence achieves clone node detection in one cycle of protocol execution leading to less communication overheads. Performance of the proposed approach is analysed in terms of security and cost. To improve performance, using a discrete model and detection cost function stated as a convex optimisation problem and parameters optimised values are calculated. Finally, the simulation results show that proposed approach has less communication overhead and false alarm probability and better performance compared to previously proposed approaches.

Online publication date: Sat, 12-Aug-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Sensor Networks (IJSNET):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your 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