This paper discusses the application and advantages of machine learning in anomaly
detection of network security traffic. By summarizing the existing methods and techniques of …

An essential aspect of cybersecurity is the continuously growing threat landscape, which
necessitates the use of advanced anomaly detection techniques in network data. The …

With the rapid rise in the ubiquity and sophistication of Internet technology and the
accompanying growth in the number of network attacks, network intrusion detection has …

Due to the advance in network technologies, the number of network users is growing rapidly,
which leads to the generation of large network traffic data. This large network traffic data is …

With the proliferation of internet users around the world, it is becoming imperative to make
communications safer than before. A network intrusion detection system is pivotal for …

New vulnerabilities and ever‐evolving network attacks pose great threats to today's
cyberspace security. Anomaly detection in network traffic is a promising and effective …

Threats on the Internet are posting high risk to information security and network anomaly
detection has become an important issue/area in information security. Data mining …

Intrusion and anomaly detection are particularly important to protect computer networks and
communication vulnerability. This research aims to experimentally identify the best error …

To develop a network traffic anomaly detection technique and system, it is indeed necessary
to know the basic properties of network-wide traffic. This chapter starts with a discussion of …