Intrusion Detection System (IDS) is intended to detect anomalous usages or attacks on system and network. Even though many IDS models have been developed, they still may have problems, such as involvement of components contaminated by anomalous process, in detecting anomalous behavior patterns. To distinguish anomalous patterns from normal patterns, we propose a Bayesian approach which includes the presentation of the relations among normal pattern components.

Abstract
 1. 서론
 2. 관련연구
  2.1 베이지안 접근 기반 이상탐지 방법
  2.2 시스템 호출 기반 이상탐지 방법
 3. 베이지안 네트워크를 이용한 침입탐지
  3.1 침입탐지 시스템 개요
  3.2 베이지안 네트워크의 구축
  3.3 실험결과 예시
 4. 결론 및 향후연구
 참고문헌

• 안선응(한양대학교 산업공학과)
• 박창순(한양대학교 산업공학과)
• 남경훈(한양대학교 산업공학과)
• 김택상(한양대학교 산업공학과)