Finding MAPs for belief networks is NP-hard
Artificial Intelligence
Intrusion detection using autonomous agents
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Developing an Automated Distributed Meeting Scheduler
IEEE Expert: Intelligent Systems and Their Applications
Cooperating security managers: a peer-based intrusion detection system
IEEE Network: The Magazine of Global Internetworking
Iterative Compilation of Multiagent Probabilistic Graphical Models
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Iterative Multiagent Probabilistic Inference
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Dynamic multiagent probabilistic inference
International Journal of Approximate Reasoning
Game theoretic models for detecting network intrusions
Computer Communications
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Compiling Multiply Sectioned Bayesian Networks: A Comparative Study
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Effective multimodel anomaly detection using cooperative negotiation
GameSec'10 Proceedings of the First international conference on Decision and game theory for security
Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection
Journal of Network and Systems Management
Autonomous agent based distributed fault-tolerant intrusion detection system
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
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Intrusion detection for computer systems is a key problem in today’s networked society. Current distributed intrusion detection systems (IDSs) are not fully distributed as most of them centrally analyze data collected from distributed nodes resulting in a single point of failure. Increasingly, researchers are focusing on distributed IDSs to circumvent the problems of centralized approaches. A major concern of fully distributed IDSs is the high false positive rates of intrusion alarms which undermine the usability of such systems. We believe that effective distributed IDSs can be designed based on principles of coordinated multiagent systems. We propose an Agent-Based Distributed Intrusion Alert System (ABDIAS) which is fully distributed and provides two capabilities in addition to other functionalities of an IDS: (a) early warning when pre-attack activities are detected, (b) detecting and isolating compromised nodes by trust mechanisms and voting-based peer-level protocols.