본 연구는 네트워크 기반 침입탐지 시스템(NIDS)의 우회공격 방지를 위한 적응적 규칙 추정 알고리즘(ARE; Adaptive Rule Estimation)을 제안한다. 네트워크 기반 침입탐지 시스템에서 가장 많이 사용하는 침입탐지 방법은 규칙 기반의 패턴 매칭 기법이며, 이 방법은 삽입과 삭제에 의한 우회 공격에 많은 취약성을 가지고 있다. 본 연구에서는 이러한 삽입과 삭제에 의한 우회 공격을 방지 하고자 하는 취지에서 제안된 알고리즘이다. 적응적 규칙 추정에 의한 침입 탐지 알고리즘은 두 개의 과정으로 구성되며, 전처리 부분에서는 최적의 규칙을 선택하고, 주처리 부분에서 적응적으로 규칙 패턴의 변형된 위치를 찾아서 비교 판단하는 과정으로 이루어져 있다. 제안된 적응적 규칙 추정 알고리즘은 기존의 규칙 기반 패턴 매칭에서 우회공격이 가능한 것들이 탐지되며, 미탐지 확률을 줄일 수 있다.
KSP Keywords
Adaptive rule
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