IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Mining in a data-flow environment: experience in network intrusion detection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Intrusion detection
Intrusion detection using autonomous agents
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
Analysis and Results of the 1999 DARPA Off-Line Intrusion Detection Evaluation
RAID '00 Proceedings of the Third International Workshop on Recent Advances in Intrusion Detection
Learning nonstationary models of normal network traffic for detecting novel attacks
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Cooperative negotiation for soft real-time distributed resource allocation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Lightweight agents for intrusion detection
Journal of Systems and Software
A Cooperative Negotiation Protocol for Physiological Model Combination
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
A formal framework for connective stability of highly decentralized cooperative negotiations
Autonomous Agents and Multi-Agent Systems
Agent-based distributed intrusion alert system
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
Analyzing TCP traffic patterns using self organizing maps
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Combining rate-adaptive cardiac pacing algorithms via multiagent negotiation
IEEE Transactions on Information Technology in Biomedicine
Anthropic agency: a multiagent system for physiological processes
Artificial Intelligence in Medicine
Effective multimodel anomaly detection using cooperative negotiation
GameSec'10 Proceedings of the First international conference on Decision and game theory for security
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Using agents for developing intrusion detection systems can provide several advantages, including configurability, adaptability, scalability, and robustness. Almost all works in agent-based intrusion detection have considered agents as elements that perform specific tasks in the intrusion detection process. In this paper, we propose a novel way of using agents to solve one of the most pressing problems in intrusion detection: the definition of an accurate model of network normality. We consider agents as associated to partial models of network normality that harmonize their conflicts via cooperative negotiation. Experimental results show that the proposed approach is promising.