Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …

Hardware Performance Counters (HPCs) have been available in processors for more than a
decade. These counters can be used to monitor and measure events that occur at the CPU …

As Internet of Things (IoT) involvement increases in our daily lives, several security and
privacy concerns like linkability, unauthorized conversations, and side-channel attacks are …

The growing complexity of contemporary computing systems heightens susceptibility to
emerging cyber threats. Recent advancements in computer architecture security leverage …

The electric grid modernization effort relies on the extensive deployment of microgrid (MG)
systems. MGs integrate renewable resources and energy storage systems, allowing to …

We propose a novel methodology for real-time monitoring of software running on embedded
processors in cyber-physical systems (CPS). The approach uses real-time monitoring of …

Malware can range from simple adware to stealthy kernel control-flow modifying rootkits.
Although anti-virus software is popular, an ongoing cat-and-mouse cycle of anti-virus …

The growing frequencies of extreme weather events and cyber-attacks give rise to a novel
threat where a malicious cyber actor aims to disrupt stressed components of critical …

We present a kernel-level infrastructure that allows systemwide detection of malicious
applications attempting to exploit cache-based side-channel attacks to break the process …

Smart grids include a variety of microprocessor-based embedded systems, interconnected
with communication technologies. In this interaction, hardware is the lower level of …