High Security for Manet Using Authentication and Intrusion Detection with Data Fusion
In Mobile Ad-hoc NETwork (MANET), Multimodal Biometric technology plays a vital role in giving security between user-to-device authentications. This paper concentrates on the Intrusion Detection and authentication with data fusion in MANET. To overcome the fault in unimodal biometric systems, Multimodal biometrics is set out to work with Intrusion Detection Systems. Each and every device has dimensions and estimation limitations, many devices to be selected and with the help of Dempster-Shafter theory for data fusion observation precision gets increased. Based on the security posture, system concludes which biosensor (IDS) to select and whether user authentication (or IDS input) is essential. By every authentication device and Intrusion Detection System (IDS), the decisions are made in a fully distributed manner.