A study on fuzzy intrusion detection

Jing Tao Yao; Song Lun Zhao; Larry V. Saxton

doi:10.1117/12.604465

28 March 2005 A study on fuzzy intrusion detection

Jing Tao Yao, Song Lun Zhao, Larry V. Saxton

Proceedings Volume 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005; (2005) https://doi.org/10.1117/12.604465
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Jing Tao Yao, Song Lun Zhao, and Larry V. Saxton "A study on fuzzy intrusion detection", Proc. SPIE 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005, (28 March 2005); https://doi.org/10.1117/12.604465

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