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Adaptive Intrusion Detection Algorithm based on Artificial Immune System

인공 면역계를 기반으로 하는 적응형 침입탐지 알고리즘

  • 심귀보 (중앙대학교 전자전기공학부) ;
  • 양재원 (중앙대학교 전자전기공학부)
  • Published : 2003.04.01

Abstract

The trial and success of malicious cyber attacks has been increased rapidly with spreading of Internet and the activation of a internet shopping mall and the supply of an online, or an offline internet, so it is expected to make a problem more and more. The goal of intrusion detection is to identify unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators in real time. In fact, the general security system based on Internet couldn't cope with the attack properly, if ever. other regular systems have depended on common vaccine softwares to cope with the attack. But in this paper, we will use the positive selection and negative selection mechanism of T-cell, which is the biologically distributed autonomous system, to develop the self/nonself recognition algorithm and AIS (Artificial Immune System) that is easy to be concrete on the artificial system. For making it come true, we will apply AIS to the network environment, which is a computer security system.

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