Dynamic Intrusion Detection With Data Fusion and Aggregation in High-Security Mobile Ad Hoc Networks
Multimodal biometric technology provides potential solutions for continuous user to device authentication in high-security Mobile Ad hoc NETworks (MANETs). This paper studies distributed combined authentication and intrusion detection with data fusion in such MANETs. Multimodal biometrics are deployed to work with Improved Intrusion Detection Systems (IIDSs) to alleviate the shortcomings of uni-modal biometric systems. Since, each device in the network has measurement and estimation 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.