Anomaly Intrusion Detection Approach Using Hybrid MLP/CNN Neural Network

Abstract

An anomaly intrusion detection approach based on hybrid MLP/CNN (multi-layer perceptron/chaotic neural network) neural network is proposed in this paper. Most anomaly detection approaches using MLP can detect novel real-time attacks, but still has high false alarm rates. Most attacks are composed of a series of anomaly events. These attacks are called time… (More)
DOI: 10.1109/ISDA.2006.253765

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