Solving One Problem of Network Traffic Anomaly Detection Using a Convolutional Neural Network
V. S. Fedorova,
V. V. Strigunov
Abstract:Detecting network attacks by anomaly search method is to identify behaviors that deviate from established baseline parameters, signaling potential security incidents. In this paper, the authors consider the application of convolutional neural network for network traffic anomaly detection. As part of the study, a convolutional neural network has been developed, trained on the dataset CICIDS2017 dataset and quality assessment has been carried out. Based on the developed neural network, a prototype for anomaly de… Show more
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