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http://dx.doi.org/10.13089/JKIISC.2002.12.4.29

An Aggregate Detection Method for Improved Sensitivity using Correlation of Heterogeneous Intrusion Detection Sensors  

김용민 (전남대학교 대학원 전산통계학과)
김민수 (전남대학교 정보보호협동과정)
김홍근 (한국정보보호진흥원)
노봉남 (전남대학교 컴퓨터정보학부)
Abstract
In general, the intrusion detection method of anomalous behaviors has high false alarm rate which contains false-positive and false-negative. To increase the sensitivity of intrusion detection, we propose a method of aggregate detection to reduce false alarm rate by using correlation between misuse activity detection sensors and anomalous ones. For each normal behavior and anomalous one, we produce the reflection rate between the result from one sensor and another in off-line. Then, we apply this rate to the result of real-time detection to reduce false alarm rate.
Keywords
IDS; detection sensor; aggregate detection; correlation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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