State estimators, including observers and Bayesian filters, are a class of model-based
algorithms for estimating variables in a dynamical system given the sensor measurements of …

Cyberphysical systems (CPSs) are part of the critical infrastructure. CPS security is
challenging because the system can be attacked from both cyber and physical domains. In …

A novel scheme is proposed to authenticate sensors and detect data integrity attacks in a
Cyber Physical System (CPS). The proposed technique uses the hardware characteristics of …

An attack detection scheme is proposed to detect data integrity attacks on sensors in Cyber-
Physical Systems (CPSs). A combined fingerprint for sensor and process noise is created …

Cyber–physical systems (CPSs) are ubiquitous in critical infrastructures, where
programmable logic controllers (PLCs) and physical components intertwine. However …

In this manuscript, we present a detailed case study about model-based attack detection
procedures for Cyber-Physical Systems (CPSs). In particular, using EPANET (a simulation …

As one of the widely used applications in wireless sensor networks, target tracking has
attracted considerable attention. Although many tracking techniques have been developed …

Linear deception attacks can bypass the χ 2 detector by tampering with data. In this paper,
we provide a secure strategy for a cyber physical system (CPS) against such attacks. In …

Abstract The use of Artificial Intelligence (AI) is growing in areas where decisions and
consequences have high-stakes such as larger scale software, critical infrastructure, and …

Smart grid is built by combination of electric and information technologies and achieves the
two-way interaction between power utilization and power generation. Unfortunately, new …