Classification of computer intrusions using functional networks. A comparative study.
作者： Noelia Sánchez-Maroño , Beatriz Pérez-Sánchez , Amparo Alonso-Betanzos , Juan A. Suárez-Romero , Félix M. Carballal-Fortes
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摘要: Intrusion detection is a problem that has attracted great deal of attention from computer scientists recently, due to the exponential increase in attacks recent years. DARPA KDD Cup 99 standard dataset for classifying attacks, which several ma- chine learning techniques have been applied. In this paper, we describe results obtained using functional networks { paradigm extends feedforward neural and compare these other applied same dataset. Of particular interest capacity generalization approach used.
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