Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-02-27
Information Security Technical Report, 12(4), pp 218-227, 2007
Computer Science
Neural and Evolutionary Computing
Scientific paper
10.1016/j.istr.2007.10.003
The immune system provides an ideal metaphor for anomaly detection in general and computer security in particular. Based on this idea, artificial immune systems have been used for a number of years for intrusion detection, unfortunately so far with little success. However, these previous systems were largely based on immunological theory from the 1970s and 1980s and over the last decade our understanding of immunological processes has vastly improved. In this paper we present two new immune inspired algorithms based on the latest immunological discoveries, such as the behaviour of Dendritic Cells. The resultant algorithms are applied to real world intrusion problems and show encouraging results. Overall, we believe there is a bright future for these next generation artificial immune algorithms.
Aickelin Uwe
Greensmith Julie
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