alexa MULTIMODAL BIOMETRIC AUTHENTICATION AND INTRUSION DETECTION IN MOBILE AD HOC NETWORK
ISSN: 1948-1432

Journal of Global Research in Computer Sciences
Open Access

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Research Article

MULTIMODAL BIOMETRIC AUTHENTICATION AND INTRUSION DETECTION IN MOBILE AD HOC NETWORK

Varsha S.Upare*1 and Lalit Kulkarni2
  1. Student, MIT College OF Engineering
  2. Prof, MIT College Of Engg, Pune.
Corresponding Author: Varsha S.Upare, E-mail: [email protected]
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Abstract

Multimodal biometric technology provides potential solutions for continuous user-to-device authentication in high security mobile ad hoc networks. Continuous user authentication is an important prevention-based approach to protect high security mobile ad hoc networks (MANETs).Intrusion detection systems (IDSs) are also important in MANETs to effectively identify malicious activities. This paper presents a framework of combining authentication and intrusion detection in MANET. This paper presents three authentication methods to choose the optimal scheme of combining authentication and intrusion detection. The first method uses the dynamic programming-based hidden Markov model scheduling algorithms to derive the optimal schemes. The second technique uses the Dumpster–Shafer theory for data fusion. The system decides whether user authentication (or IDS input) is required and which biosensors (or IDSs) should be chosen, depending on the security posture. Third technique presents structural results method to solve the problem for a large network with a variety of nodes.

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