IEEE Transactions on Software Engineering - Special issue on computer security and privacy
State Transition Analysis: A Rule-Based Intrusion Detection Approach
IEEE Transactions on Software Engineering
Software agents
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
A General Cooperative Intrusion Detection Architecture for MANETs
IWIA '05 Proceedings of the Third IEEE International Workshop on Information Assurance
Algorithm of behavior evaluation in multi-agent system
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Network traffic classification using a parallel neural network classifier architecture
Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research
Review: An intrusion detection and prevention system in cloud computing: A systematic review
Journal of Network and Computer Applications
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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.