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Intelligent Radial Basis Function Neural Network for Intrusion Detection in Battle Field

Intelligent Radial Basis Function Neural Network for Intrusion Detection in Battle Field

Kirupa Ganapathy
Copyright: © 2018 |Pages: 23
ISBN13: 9781522536864|ISBN10: 1522536868|EISBN13: 9781522536871
DOI: 10.4018/978-1-5225-3686-4.ch008
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MLA

Ganapathy, Kirupa. "Intelligent Radial Basis Function Neural Network for Intrusion Detection in Battle Field." Developments and Trends in Intelligent Technologies and Smart Systems, edited by Vijayan Sugumaran, IGI Global, 2018, pp. 151-173. https://doi.org/10.4018/978-1-5225-3686-4.ch008

APA

Ganapathy, K. (2018). Intelligent Radial Basis Function Neural Network for Intrusion Detection in Battle Field. In V. Sugumaran (Ed.), Developments and Trends in Intelligent Technologies and Smart Systems (pp. 151-173). IGI Global. https://doi.org/10.4018/978-1-5225-3686-4.ch008

Chicago

Ganapathy, Kirupa. "Intelligent Radial Basis Function Neural Network for Intrusion Detection in Battle Field." In Developments and Trends in Intelligent Technologies and Smart Systems, edited by Vijayan Sugumaran, 151-173. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3686-4.ch008

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Abstract

Defense at boundary is nowadays well equipped with perimeter protection, cameras, fence sensors, radars etc. However, in battlefield there is more feasibility of entering of a non-native human and unknowing stamping of the explosives placed in the various paths by the native soldiers. There exists no alert system in the battlefield for the soldiers to identify the intruder or the explosives in the field. Therefore, there is a need for an automated intelligent intrusion detection system for battlefield monitoring. This chapter proposes an intelligent radial basis function neural network (RBFNN) technique for intrusion detection and explosive identification. The proposed intelligent RBFNN implements some intellectual components in the algorithm to make the neural network think before learning the training samples. Involvement of intellectual components makes the learning process simple, effective and efficient. The proposed technique helps to reduce false alarm and encourages timely detection thereby providing extensive support for the native soldiers and save the life of the mankind.

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