Unmanned autonomous vehicles (UAVs) rely on effective path planning and tracking control
to accomplish complex tasks in various domains. Reinforcement Learning (RL) methods are …

Software rejuvenation has been proposed to guarantee safety of cyber-physical systems
(CPSs) against cyber-attacks. Recent work has demonstrated how this method can be …

Software rejuvenation, which was originally introduced to deal with performance
degradation due to software aging, has recently been proposed as a mechanism to provide …

Advancements in the Internet of Things (IoT) have resulted in the connection and
deployment of numerous smart and embedded devices. Although such devices enable …

With the rapid development of communication technology, unmanned aerial vehicles (UAVs)
have been widely used in the military, rescue, agricultural and other fields. The security and …

Secrecy encoding for remote state estimation in the presence of adversarial eavesdroppers
is a well studied problem. Typical existing secrecy encoding schemes rely on the …

Decentralized control systems exist in many scenarios where agents have the ability to fully
communicate with one another but do not do so for multiple reasons, including cost and the …

We investigate a linear quadratic Gaussian (LQG) tracking problem with safety and
reachability constraints in the presence of an adversary who mounts a false data injection …

Software rejuvenation is the concept of scheduling periodic system reboots to eliminate
sources of potential failures due to unanticipated states in the run-time system. It has been …

Modern Internet-of-Things devices are vulnerable to attacks targeting outgoing actuation
commands that modify their physical behaviors. We present a “selective checking” …