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Towards resilient critical infrastructures: Application of Type-2 Fuzzy Logic in embedded network security cyber sensor

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4 Author(s)
Linda, O. ; Univ. of Idaho, Idaho Falls, ID, USA ; Manic, M. ; Alves-Foss, J. ; Vollmer, T.

Resiliency and cyber security of modern critical infrastructures is becoming increasingly important with the growing number of threats in the cyber environment. This paper proposes an extension to a previously developed fuzzy logic based anomaly detection network security cyber sensor via incorporating Type-2 Fuzzy Logic (T2 FL). In general, fuzzy logic provides a framework for system modeling in linguistic form capable of coping with imprecise and vague meaning of words. T2 FL is an extension of Type-1 FL which proved to be successful in modeling and minimizing the effects of various kinds of dynamic uncertainties. In this paper, T2 FL provides a basis for robust anomaly detection and cyber security state awareness. In addition, the proposed algorithm was specifically developed to comply with the constrained computational requirements of low-cost embedded network security cyber sensors. The performance of the system was evaluated on a set of network data recorded from an experimental cyber security test-bed.

Published in:

Resilient Control Systems (ISRCS), 2011 4th International Symposium on

Date of Conference:

9-11 Aug. 2011