Proceedings of the Korea Inteligent Information System Society Conference (한국지능정보시스템학회:학술대회논문집)
- 2001.01a
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- Pages.298-309
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- 2001
An Application of Clonal Selection Process of an Artificial Immune System to Implementing Intruder Detection System
- Kim, Jung-Won (University College of London) ;
- Kim, Jung-Won (School of Information & Telecommunication, Sangmyung University) ;
- Kim, Hwa-Soo (National Defense University Seoul Korea)
- Published : 2001.01.01
Abstract
This research aims to unravel the significant features of the human immune system, which would be successfully employed for a novel network intrusion detection model. Several salient features of the human immune system, which detects intruding pathogens, are carefully studied and the possibility and the advantages of adopting these features for network intrusion detection are reviewed and assessed.