GDL

Design of Neural Networks for Intrusion Detection

There are increasing demands for accessing information over the Internet, more and more networks are designed and deployed. The information and network security becomes a key issue for us to study. Neural network is effective to detect network intrusion. Much effort has been taken in this field. Stolfo et al put forward 41 higher-level derived features to distinguish normal connections from abnormal connections. Unfortunately, with these 41 derived features as inputs, IDS systems take long time to converge when training and work slowly during on-line detections. We quantize derived features to digital type before feeding the

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