From the security of multi-agent systems (MASs), this paper investigates false-data injection
attacks that cooperatively compromise communication links to stealthily destabilize the …

Distributed cyber–physical systems (CPSs) are with complex and interconnected framework
to receive, process, and transmit data. However, they may suffer from adversarial false data …

In this paper, several inverse Kalman filtering problems are addressed, where unknown
parameters and/or inputs in a filtering model are reconstructed from observations of the …

In this article, we study the problem of distributed estimation of discrete-time LTI systems with
bounded noise against sparse integrity attacks. A malicious adversary can corrupt an …

The 2019-20 Australia bushfire incurred numerous economic losses and significantly
affected the operations of power systems. A power station or transmission line can be …

This paper studies the distributed localization problem for mobile sensor networks in the
presence of malicious attacks, which manipulate relative measurements to mislead the …