With the popularization of Internet of things, its network security has aroused widespread
concern. Anomaly detection is one of the important technologies to protect network security …

Malicious traffic detection models (MTDMs) prevent cyber-attacks by monitoring the network
traffic and detecting threats in network throughput. However, due to the imperceptible …

In recent years, attacks on the DNS continue to proliferate due to the lack of security
mechanisms. DNS over HTTPS (DoH) is a standard developed for encrypting plaintext DNS …

This paper looks into the problem of detecting network anomalies by analyzing NetFlow
records. While many previous works have used statistical models and machine learning …

Security issues of large-scale local area network are becoming more prominent and the
anomaly detection for the network traffic is the key means to solve this problem. On the other …

In recent years, a great deal of attention has been given to deep learning in the field of
network and information security. Any intrusion and anomaly in the network can significantly …

Abstract Network Anomaly Detection is still an open challenging task that aims to detect
anomalous network traffic for security purposes. Usually, the network traffic data are large …

While the industrial Internet of Things (IIoT) brings convenience to the industry, it also brings
security problems. Due to the massive amount of data generated by the surge of IIoT …

The rapid development of Internet technology has brought great convenience to our
production life, and the ensuing security problems have become increasingly prominent …

In this research, we investigate and evaluate four unsupervised learning algorithms: K-
Means and Self Organizing Maps (SOM), deep autoencoding Gaussian mixture model …