Applying Genetic Programming to Intrusion Detection

作者: Eugene H. Spafford , Mark Crosbie

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

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