Creating a two-layered augmented artificial immune system for application to computer network intrusion detection

Matthew G. Judge; Gary B. Lamont

doi:10.1117/12.822217

29 April 2009 Creating a two-layered augmented artificial immune system for application to computer network intrusion detection

Matthew G. Judge, Gary B. Lamont

Author Affiliations +

Proceedings Volume 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III; 73470C (2009) https://doi.org/10.1117/12.822217
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Computer network security has become a very serious concern of commercial, industrial, and military organizations due to the increasing number of network threats such as outsider intrusions and insider covert activities. An important security element of course is network intrusion detection which is a difficult real world problem that has been addressed through many different solution attempts. Using an artificial immune system has been shown to be one of the most promising results. By enhancing jREMISA, a multi-objective evolutionary algorithm inspired artificial immune system, with a secondary defense layer; we produce improved accuracy of intrusion classification and a flexibility in responsiveness. This responsiveness can be leveraged to provide a much more powerful and accurate system, through the use of increased processing time and dedicated hardware which has the flexibility of being located out of band.

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Matthew G. Judge and Gary B. Lamont "Creating a two-layered augmented artificial immune system for application to computer network intrusion detection", Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470C (29 April 2009); https://doi.org/10.1117/12.822217

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