Kim, J. and Bentley, P. (1999c). The Human Immune System and Network Intrusion Detection. In Proceedings of the 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99). Home/Search Document Details and Download
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An Evaluation of Negative Selection in an Artificial Immune.. - Kim, Bentley (2001) (6 citations) Self-citation (Kim Bentley) (Correct)
....the job of a negative selection stage should be restricted to tackle a more modest task that is closer to the role of negative selection of human immune system. That is simply filtering the harmful antibodies rather than generating competent ones. This view has been corroborated by further work (Kim and Bentley, 2001) which has recently shown how succesful the use of clonal selection with a negative selection operator can be for this type of problem. 3 Hofmeyr and Forrest (2000) s final system employs some other extensions to support the operation of AIS under a real network environment. Among them, ....
....work is now investigating the intrusion detection mechanism of the clonal selection stage. A new understanding of the task of the clonal selection stage has now resulted in the development of a more appropriate use for negative selection as an operator within a novel clonal selection algorithm (Kim and Bentley, 2001) ....
Kim, J. and Bentley, P. (1999a), "The Human Immune System and Network Intrusion Detection", 7th European Conference on Intelligent Techniques and Soft Computing (EUFIT '99), Aachen, Germany.
Negative Selection and Niching by an Artificial Immune System.. - Kim, Bentley (1999) (3 citations) Self-citation (Kim Bentley) (Correct)
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Kim, J. and Bentley, P., 1999a, The Human Immune System and Network Intrusion Detection, 7th European Conference on Intelligent Techniques and Soft Computing (EUFIT '99), Aachen, Germany (to appear).
An Artificial Immune System for Network Intrusion Detection - Kim (4 citations) Self-citation (Kim) (Correct)
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Kim, J. and Bentley, P., 1999a, The Human Immune System and Network Intrusion Detection, 7th European Conference on Intelligent Techniques and Soft Computing (EUFIT '99), Aachen, Germany (to appear).
An Artificial Immune Model for Network Intrusion Detection - Kim, Bentley (5 citations) Self-citation (Kim Bentley) (Correct)
....machine using the audit trails of a host operating system and network based IDS s monitor any number of hosts on a network by scrutinising the audit trails of multiple hosts. Even though various approaches have been developed and proposed, no network based IDS has satisfied all its requirements [5]. This paper proposes a novel approach to building a network based IDS, which is inspired by a human immune system. Kim and Bentley [5] carefully studied the several salient features of human immune systems and showed the possibility and advantages of adopting these features for network intrusion ....
....the audit trails of multiple hosts. Even though various approaches have been developed and proposed, no network based IDS has satisfied all its requirements [5] This paper proposes a novel approach to building a network based IDS, which is inspired by a human immune system. Kim and Bentley [5] carefully studied the several salient features of human immune systems and showed the possibility and advantages of adopting these features for network intrusion detection. This paper presents a more specific artificial immune model, which actually monitors a real network, and describes the main ....
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Kim, J.; Bentley, P., 1999, "The Human Immune System and Network Intrusion Detection", submitted to EUFIT'99.
Intrusion Detection: A Bibliography - Mé, Michel (2001) (Correct)
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Kim, J. and Bentley, P. (1999c). The Human Immune System and Network Intrusion Detection. In Proceedings of the 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99).
Artificial Immune Systems: Part II - A Survey Of Applications - de Castro, Von Zuben (2000) (Correct)
No context found.
Kim, J. & Bentley, P. (1999a), "The Human Immune System and Network Intrusion Detection", In Proc. of the EUFIT'99 (CD-ROM).
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