Feature Selection for Robust Detection of Distributed Denial-of-Service Attacks Using Genetic Algorithms

In this paper we present a robust neural network detector for Distributed Denial-of-Service (DDoS) attacks in computers providing Internet services. A genetic algorithm is used to select a small number of efficient features from an extended set of 44 statistical features, which are estimated only fr...

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Bibliographische Detailangaben

Hauptverfasser:	Dimitris, Gavrilis, Ioannis, Tsoulos, Evangelos, Dermatas
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Denial of Service Exact sciences and technology Genetic Algorithms Information systems. Data bases Learning and adaptive systems Memory organisation. Data processing Neural Networks Software
Online-Zugang:	Volltext
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