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 plays a crucial role as it provides an effective mechanism to
block or stop cyberattacks. With the recent advancement of Artificial Intelligence (AI), there …

Anomaly detection in network traffic is one of the key techniques to ensure security in future
networks. Today, the importance of this topic is even higher, since the network traffic is …

Currently, expert systems and applied machine learning algorithms are widely used to
automate network intrusion detection. In critical infrastructure applications of communication …

In the face of endless cyberattacks, many researchers have proposed machine learning-
based network anomaly detection technologies. Traditional statistical features of network …

Deep learning has been widely applied to network anomaly detection to improve
performance. In our past research, we empirically evaluated a set of deep learning models …

The advancement of networking platforms for assured online services requires robust and
effective network intelligence systems against anomalous events and malicious threats. With …

The Internet and computer networks are currently suffering from serious security threats.
Those threats often keep changing and will evolve to new unknown variants. In order to …

Anomaly detection in a network is one of the prime concerns for network security. In this
work, a novel Channel Boosted and Residual learning based deep Convolutional Neural …

Deep learning has been widely studied in many technical domains such as image analysis
and speech recognition, with its benefits that effectively deal with complex and high …