Monitoring the “physics” of cyber-physical systems to detect attacks is a growing area of
research. In its basic form, a security monitor creates time-series models of sensor readings …

Monitoring the “physics” of control systems to detect attacks is a growing area of research. In
its basic form a security monitor creates time-series models of sensor readings for an …

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 …

Recent incidents have shown that Industrial Control Systems (ICS) are becoming
increasingly susceptible to sophisticated and targeted attacks initiated by adversaries with …

The problem of attack detection in cyberphysical systems is considered in this paper.
Transferentropy-based causality countermeasures are introduced for both sensor …

Recently, reconstruction-based anomaly detection was proposed as an effective technique
to detect attacks in dynamic industrial control networks. Unlike classical network anomaly …

Industrial Control Systems (ICS) such as water and power are critical to any society. Process
anomaly detection mechanisms have been proposed to protect such systems to minimize …

Deep Learning is emerging as an effective technique to detect sophisticated cyber-attacks
targeting Industrial Control Systems (ICSs). The conventional detection approach is to learn …

Gradual increase in the number of successful attacks against Industrial Control Systems
(ICS) has led to an urgent need to create defense mechanisms for accurate and timely …

Data-centric approaches are becoming increasingly common in the creation of defense
mechanisms for critical infrastructure such as the electric power grid and water treatment …