Rapid developments in network technologies and the amount and scope of data transferred
on networks are increasing day by day. Depending on this situation, the density and …

With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …

The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …

Anomaly detection has been known as an effective technique to detect faults or cyber-
attacks in industrial control systems (ICS). Therefore, many anomaly detection models have …

Computer viruses, malicious, and other hostile attacks can affect a computer network.
Intrusion detection is a key component of network security as an active defence technology …

The advent of Industry 4.0 has led to a rapid increase in cyber attacks on industrial systems
and processes, particularly on Industrial Control Systems (ICS). These systems are …

Globally, the external Internet is increasingly being connected to the contemporary industrial
control system. As a result, there is an immediate need to protect the network from several …

In this paper, we show a deep learning model for bot detection, named as DeBot, for
industrial network traffic. DeBot uses a novel Cascade Forward Back Propagation Neural …

Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …