Abstract:Network intrusion detection system (NIDS) plays an important role in network security. With the continuous development of technology, machine learning and deep learning are gradually becoming the main methods of NIDS. However, a large amount of network traffic data has the problem of manual labeling, which results in a limited train datasets, and reduces the performance of NIDS. Semi-supervised learning is a new approach that combines supervised and unsupervised learning to analyze large unlabeled datasets wit… Show more
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