Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Aggregation and Correlation of Intrusion-Detection Alerts
RAID '00 Proceedings of the 4th International Symposium on Recent Advances in Intrusion Detection
BlueBoX: A policy-driven, host-based intrusion detection system
ACM Transactions on Information and System Security (TISSEC)
A Sense of Self for Unix Processes
SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
An immunity-based technique to characterize intrusions in computernetworks
IEEE Transactions on Evolutionary Computation
Proceedings of the Sixth Annual Workshop on Cyber Security and Information Intelligence Research
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The biological immune system is an autonomic system for self-protection, which has evolved over millions of years probably through extensive redesigning, testing, tuning and optimization process. The powerful information processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature provide rich metaphors for its artificial counterpart. Our study focuses on building an autonomic defense system, using some immunological metaphors for information gathering, analyzing, decision making and launching threat and attack responses. This on-going research effort is not to mimic the nature but to explore and learn valuable lessons useful for self-adaptive cyber defense systems.