Semi-Supervised Deep Learning based Network Intrusion Detection
Siyuan Zhang, Chaoming Du · 2020
In the era of big data, network and exclusive data penetrates in all aspects of individual's life while the attacks in network are becoming frequent. To adapt to a variety of applications and scenes, traditional techniques in security cannot be applied alone in the network intrusion detection. The paper has a brief review on the machine learning techniques and introduce the semi-supervised combined with deep learning in the perspective of the need of actual applications in security. As the representative work of semi-supervised leaning combined with deep learning, neural network with pseudo labels and ladder network is practiced in benchmark NSL-KDD to evaluate the feasibility and the accuracy of models.