Network Intrusion Detection: An Analyst's Handbook
Network Intrusion Detection: An Analyst's Handbook
NetSTAT: A Network-Based Intrusion Detection Approach
ACSAC '98 Proceedings of the 14th Annual Computer Security Applications Conference
A specification-based intrusion detection system for AODV
Proceedings of the 1st ACM workshop on Security of ad hoc and sensor networks
Asynchronous alert correlation in multi-agent intrusion detection systems
MMM-ACNS'05 Proceedings of the Third international conference on Mathematical Methods, Models, and Architectures for Computer Network Security
Comparing trust mechanisms for monitoring aggregator nodes in sensor networks
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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At present, distributed intrusion detection systems are taking on more and more characteristic of distributing and intelligence. Multi-agent system (MAS), which shows its intelligence by the interaction of a group of intelligent agents, is a popular tool for building novel intrusion detection systems (IDSs). The BDI (Belief-Desire- Intention) model is a well studied architecture of agency for intelligent agents situated in complex and dynamic environments. Traditional MAS-based distributed IDSs commonly do their detection work within a framework that employs the method of distributed data collection and hierarchical data analysis. This is a simple and strict method, but it restricts the characteristic of distributing, intelligence and real-time response badly. In this paper, we present a dynamically-created hierarchical framework, and then bring forward the basic algorithm system to support it. We introduce the opponent BDI model to our agents, and realize the detection based on multi-agent cooperation, which effectively improves the traditional distributed intrusion detection.