Applying Genetic Programming to Intrusion Detection

Mark Crosbie and Eugene H. Stafford

This paper presents a potential solution to the intrusion detection problem in cmnputer security. It uses a combination of work in the fields of Artificial Life and computer security. It shows how an intrusion detection system can be implemented using autonomous agents, and how these agents can be built using Genetic Programming. It also shows how Automatically Defined Functions (ADFs) can be used to evolve genetic programs that contain multiple data types and yet retain type-safety. Future work arising from this is also discussed.


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