Industrial control systems (ICSs) are facing serious and evolving security threats because of
a variety of malicious attacks. Deep learning-based intrusion detection systems (IDSs) have …

Data manipulation attacks targeting network traffic of SCADA systems may compromise the
reliability of an Industrial Control system (ICS). This can mislead the control center about the …

Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an
industrial system in the absence of information on networking infrastructure and …

Abstract Cyber-physical systems (CPSs), a type of computing system integrated with
physical devices, are widely used in many areas such as manufacturing, traffic control, and …

Background: As cyber-physical systems (CPS) continue to grow, it is progressively crucial to
address the challenges of data protection using artificial intelligence (AI). Objective: The …

The network traffic should be monitored and analyzed to detect malicious activities and
attacks to ensure reliable functionality of the networks and security of users' information …

Research into the application of machine learning techniques to the problem of network
intrusion detection is important for the effective automation of cyber security. In the setting of …