The power of amnesia: learning probabilistic automata with variable memory length
Machine Learning - Special issue on COLT '94
The base-rate fallacy and the difficulty of intrusion detection
ACM Transactions on Information and System Security (TISSEC)
Intrusion detection using sequences of system calls
Journal of Computer Security
A sense of self for Unix processes
SP'96 Proceedings of the 1996 IEEE conference on Security and privacy
Reducing False Alarm Rate in Anomaly Detection with Layered Filtering
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
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Application of mechanisms of immune memory in the computer security domain allows to increase performance of certain class of security systems that are based on detection of attacks without a priori knowledge of attack’s technique. Immune memory should enable the system to memorise once encountered attacks and prevent it together with its consequences in the future. The use of agent technologies gives new possibilities in the management of stored attack’s patterns — patterns of obsolete attacks should be deleted but those of new and frequent should be maintained and generalised. In this paper ideas from agent technology and immune memory domain are introduced into computer security, tested and discussed.