With the vigorous development of Industry 4.0, industrial Big Data has turned into the core
element of the Industrial Internet of Things. As one of the most fundamental and …

Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using
efficient and effective machine learning techniques to detect network anomalies and …

Detection of evolving cyber attacks is a challenging task for conventional network intrusion
detection techniques. Various supervised machine learning algorithms have been …

In recent years, there has been a notable rise in the number of patients afflicted with
laryngeal diseases, including cancer, trauma, and other ailments leading to voice loss …

Network intrusion detection system plays a crucial role in protecting the integrity and
availability of sensitive assets, where the detected traffic data contain a large amount of time …

In this work, we present a new neural network named WAvelet-Based Broad LEarning
System (WABBLES). WABBLES is based on the flat structure of the broad learning system …

Network intrusion detection systems are an important defense technology to guarantee
information security and protect a network from attacks. In recent years, the broad learning …

Intrusion detection systems (IDSs) play a critical role in many computer networks to combat
attacks from external environments. However, due to the rapid spread of various new …

With the advancement of technology over the last decade, there has been a rapid increase
in the number and types of malware attacks such as worms whose primary function is to self …

Internet traffic data such as the number of transmitted packets and time spent on the
transmission of Internet protocols (IPs) have been shown to exhibit self-similar property …