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Title:
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NETWORKING ANALYSIS FOR SIGNATURE-BASED INTRUSION DETECTION SYSTEM METHODOLOGIES |
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Author(s):
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Francisco De Toro-negro , Pedro García-teodoro , Jesús E. Díaz-verdejo , Gabriel Maciá-fernández |
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ISBN:
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978-972-8924-30-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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Attack Detection, Misuse Analysis, Denial of Service, Machine Learning, Evolutionary Optimization. |
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Type:
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Short Paper |
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First Page:
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469 |
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Last Page:
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473 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper addresses the use of an evolutionary algorithm for the optimization of a K-nearest neighbour classifier to be considered in a misuse network based intrusion detection system. The process of optimization allows obtaining information about the features leading to a high accuracy of the classifier. The methodology has been preliminary tested on a Denial of Service attack detection application. |
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