Due to the nature of the industrial control systems (ICS) environment, where process
continuity is essential, intentionally initiating a cyberattack to check security controls can …

Intrusion Detection System is a strategic analytical tool for the security of organizations and
institutions. Among existing approaches, distributed and collaborative intrusion detection …

The application of deep learning-based (DL) network intrusion detection systems (NIDS)
enables effective automated detection of cyberattacks. Such models can extract valuable …

Much like cars, AI technologies must undergo rigorous testing to ensure their safety and
reliability. However, just as a 16-wheel truck's brakes are different from that of a standard …

In recent years, the field of network security has witnessed severe advances in the
development of intrusion detection systems to protect computer networks from malicious …

This thesis focuses on the urgent need to develop an effective threat modeling approach in
the field of Artificial Intelligence (AI) and Machine Learning (ML). The necessity for this …