A study on fuzzy intrusion detection
نویسندگان
چکیده
Current intrusion detection techniques mainly focus on discovering abnormal system events in computer networks and distributed communication systems. Clustering techniques are normally utilized to determine a possible attack. Due to the uncertainty nature of intrusions, fuzzy sets play an important role in recognizing dangerous events and reducing false alarms level. This paper proposes a dynamic approach that tries to discover known or unknown intrusion patterns. A dynamic fuzzy boundary is developed from labelled data for different levels of security needs. Using a set of experiment, we show the applicability of the approach.
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