Network anomaly detection system (NADS) is one of the most important methods to maintain
network system security. At present, network anomaly detection models based on deep …

Today's Internet and enterprise networks are so popular as they can easily provide
multimedia and e-commerce services to millions of users over the Internet in our daily lives …

Identifying network anomaly detection is important since they may carry critical information in
circumstances such as a burst of intrusions, privacy theft, system damage and fraudulent …

Since deep neural networks can learn data representation from training data automatically,
deep learning methods are widely used in the network anomaly detection. However …

Network-based anomaly detection plays a pivotal role in cybersecurity. Most detection
models are based on unsupervised machine learning to learn such a normal flow pattern of …

Anomaly detection is critical given the raft of cyber attacks in the wireless communications
these days. It is thus a challenging task to determine network anomaly more accurately. In …

Network anomaly detection is important for detecting and reacting to the presence of
network attacks. In this paper, we propose a novel method to effectively leverage the …

Network anomaly detection is paramount to early detect traffic anomalies and protect
networks against cyber attacks such as (distributed) denial of service attacks and phishing …

Network anomaly detection is the process of determining when network behavior has
deviated from the normal behavior. The detection of abnormal events in large dynamic …

Deep learning promotes the fields of image processing, machine translation and natural
language processing etc. It also can be used in network anomaly detection. In practice, it is …