Detection Model Generation System using Learning

학습을 통한 탐지 모델 생성 시스템

  • 김선영 ;
  • 오창석
  • Published : 2003.03.01

Abstract

In this paper, We propose detection mood generation system using learning to generate automatically detection model. It is improved manpower, efficiency in time. Proposed detection model generator system is consisted of agent system and manager system. Model generation can do existing standardization by genetic algorithm because do model generation and apply by new detection model. according to experiment results, detection model generation using learning proposed sees more efficiently than existing intrusion detection system. When intrusion of new type occur by implemented system and decrease of the False-Positive rate, improve performance of existing intrusion detection system.

Keywords

데이터 마이닝;침입 탐지 시스템;탐지 모델