Fuzzy Logic Based Anomaly Detection for Embedded Network Security Cyber Sensor

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Resiliency and security in critical infrastructure control systems in the modern world of cyber terrorism constitute a relevant concern. Developing a network security system specifically tailored to the requirements of such critical assets is of a primary importance. This paper proposes a novel learning algorithm for anomaly based network security cyber sensor together with its hardware implementation. The presented learning algorithm constructs a fuzzy logic rule based model of normal network behavior. Individual fuzzy rules are extracted directly from the stream of incoming packets using an online clustering algorithm. This learning algorithm was specifically developed to comply with the constrained ... continued below

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Linda, Ondrej; Vollmer, Todd; Wright, Jason & Manic, Milos April 1, 2011.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 17 times . More information about this article can be viewed below.

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Description

Resiliency and security in critical infrastructure control systems in the modern world of cyber terrorism constitute a relevant concern. Developing a network security system specifically tailored to the requirements of such critical assets is of a primary importance. This paper proposes a novel learning algorithm for anomaly based network security cyber sensor together with its hardware implementation. The presented learning algorithm constructs a fuzzy logic rule based model of normal network behavior. Individual fuzzy rules are extracted directly from the stream of incoming packets using an online clustering algorithm. This learning 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 test-bed mimicking the environment of a critical infrastructure control system.

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  • CICS - 2011 IEEE Symposium on Computational Intelligence in Cyber Security,Paris, France,04/11/2011,04/15/2011

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  • Report No.: INL/CON-10-20411
  • Grant Number: DE-AC07-05ID14517
  • Office of Scientific & Technical Information Report Number: 1013712
  • Archival Resource Key: ark:/67531/metadc836339

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  • April 1, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Dec. 5, 2016, 4:33 p.m.

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Linda, Ondrej; Vollmer, Todd; Wright, Jason & Manic, Milos. Fuzzy Logic Based Anomaly Detection for Embedded Network Security Cyber Sensor, article, April 1, 2011; Idaho Falls, Idaho. (digital.library.unt.edu/ark:/67531/metadc836339/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.