Agent-based immunological intrusion detection system for mobile Ad-hoc networks

Abstract

Mobile Ad-hoc Networks are known to bring very special challenges to intrusion detection systems, mostly because of their dynamic nature and communication characteristics. In the last few years, several research efforts have proposed the use of immune-inspired systems for intrusion detection in MANETs. In most cases, however, only low-level pattern construction and matching have been considered, often customized to specific routing strategies or protocols. In this paper we present a more general, agent-based approach to the problem. Our approach proposes the use of artificial immune systems for anomaly detection in a way that is independent of specific routing protocols and services. After introducing the problem and the proposed system, we describe our proof-of-concept implementation and our preliminary experimental results over NS-2 simulations. © 2008 Springer-Verlag Berlin Heidelberg.