This paper analyzes the effects of false data injection attacks on Control System. We assume
that the system, equipped with a Kalman filter and LQG controller, is used to monitor and …

Dynamic-state estimation plays a critical role in achieving real-time wide-area monitoring of
power systems. On the other hand, false data injection (FDI) attacks are substantial threats …

In modern smart grid networks, the traditional power grid is enabled by the technological
advances in sensing, measurement, and control devices with two-way communications …

In this paper, a security problem in cyberphysical systems (CPS) is studied. A remote state
estimation process using multiple sensors is considered. The measurement innovation …

This paper is concerned with the design of complete stealthiness false data injection (FDI)
attacks in cyber-physical systems with Kullback-Leiber divergence (KLD) detector. Different …

Due to vulnerabilities exposed to cyberattacks in the cyber physical power system,
increasing concerns have been paid to its cybersecurity, especially on the so-called false …

We study the state estimation for cyber-physical systems (CPSs) whose communication
channels are subject to mixed denial-of-service (DoS) and false data injection (FDI) attacks …

A smart grid integrates advanced sensors, efficient measurement methods, progressive
control technologies, and other techniques and devices to achieve safe, efficient and …

This paper considers the problem of optimal stealthy integrity attacks on remote state
estimation. Smart sensors transmit innovations to a remote estimator through a wireless …

We consider the problem of estimating the state of a linear time-invariant Gaussian system
using N sensors, where a subset of the sensors can potentially be compromised by an …