Towards the Development of OMNIVORE: An Evolving Intelligent Intrusion Detection System
作者： Stavros Lekkas , Dr. Ludmil Mikhailov
DOI: 10.1007/978-1-84800-086-5_22
关键词:
摘要: The vast majority of existing Intrusion Detection Systems (IDS) incorporates static knowledge bases, which contain information corresponding to specific attack patterns. Although such bases can gradually expand, be able detect new attacks, this requires the maintenance an expert. This paper describes a potential application computationally evolving intelligent behaviour in conjunction with network intrusion detection. Our aim is develop standalone Network System (NIDS), capable working offline and online mode by its structure parameters order prevent both known novel intrusions.
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manchester.ac.uk参考文章(9)
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