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An Adaptive Fuzzy Framework based on Optimized Fuzzy Contexts for Detecting Network Intrusions
2010
Mehran University Research Journal of Engineering and Technology
Anomaly based Intrusion Detection System (AIDS) is one of the key component of a reliable security infrastructure. Working at second line of defense, detection accuracy is the key objective that largely depends upon the precision of its normal profile. Due to existence of vague boundaries between normal and anomalous classes and dynamic network behavior, building accurate and generalize normal profile is very difficult. Based on the assumption that intruder?s behavior can be grouped into
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