Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-03-13
Proceedings of the 2nd International Conference on Artificial Immune Systems (ICARIS 2003), Lecture Notes in Computer Science
Computer Science
Neural and Evolutionary Computing
Scientific paper
10.1007/b12020
We present ideas about creating a next generation Intrusion Detection System based on the latest immunological theories. The central challenge with computer security is determining the difference between normal and potentially harmful activity. For half a century, developers have protected their systems by coding rules that identify and block specific events. However, the nature of current and future threats in conjunction with ever larger IT systems urgently requires the development of automated and adaptive defensive tools. A promising solution is emerging in the form of Artificial Immune Systems. The Human Immune System can detect and defend against harmful and previously unseen invaders, so can we not build a similar Intrusion Detection System for our computers.
Aickelin Uwe
Bentley Peter
Cayzer Steve
Jungwon Kim
McLeod Julie
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