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 …

While attacks on information systems have for most practical purposes binary outcomes
(information was manipulated/eavesdropped, or not), attacks manipulating the sensor or …

In this work, a security problem in cyber–physical systems is studied. We consider a remote
state estimation scenario where a sensor transmits its measurement to a remote estimator …

Secure state estimation is the problem of estimating the state of a dynamical system from a
set of noisy and adversarially corrupted measurements. Intrinsically a combinatorial …

Consider a stochastic process being controlled across a communication channel. The
control signal that is transmitted across the control channel can be replaced by a malicious …

In this paper, the problem of false data injection attacks for cyber-physical systems is
investigated. The Kullback–Leibler divergence is utilized to measure the stealthiness of the …

Control systems operate under the assumption that sensors are trustworthy. Yet, when
communication channels are unprotected or sensors are accessible from networked …

We consider the problem of estimating the state of a noisy linear dynamical system when an
unknown subset of sensors is arbitrarily corrupted by an adversary. We propose a secure …

The problem of stealthy innovation-based attacks in cyber-physical systems is studied in this
paper. Different from the existing results which only utilize the current data, a more general …

This work proposes a novel metric to characterize the resilience of stochastic cyber-physical
systems to attacks and faults. We consider a single-input single-output plant regulated by a …