Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Dempster-Shafer Theory for Intrusion Detection in Ad Hoc Networks
IEEE Internet Computing
Detecting Critical Nodes for MANET Intrusion Detection Systems
SECPERU '06 Proceedings of the Second International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing
IEEE Transactions on Wireless Communications
Continuous verification using multimodal biometrics
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
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The application of multi-modal biometric methods in securing mobile ad-hoc network has been addressed in this paper. A MANET is an infra structure less network for mobile devices connected by wireless link. The mobile network is often vulnerable to security attacks even though there are many traditional approaches, due to its features of open medium and dynamic changing topology. Multi-modal biometrics is deployed to work with intrusion detection systems (IDSs) to overcome the shortcomings of uni-modal biometric systems. The cluster head is elected in which Dempster-Shafer theory is evaluated in order to increase the observation accuracy to maintain high security and trusted MANET. Since each device in the network has measurement and estimated limitations, more than one device needs to be chosen, and observations can be fused to increase observation accuracy using Dempster--Shafer theory for data fusion.