This paper is concerned with the security problem for interconnected systems, where each
subsystem is required to detect local attacks. Moreover, we consider that there exists an …

There can be none. In this paper, we address the problem of a set of discrete-time
networked agents reaching average consensus privately and resiliently in the presence of a …

We present a framework for designing distorting mechanisms that allow the remote
operation of anomaly detectors while preserving privacy. We consider a problem setting in …

Opacity is a notion of privacy that is wellstudied in computer science and discrete-event
systems. It describes an eavesdropper's inability to infer a system's “secret” states by …

This article investigates the trade‐off between privacy and security in cyber‐physical
systems, with the goal of designing a privacy‐preserving mechanism based on information …

Opacity and attack detectability are important properties for any system as they allow the
states to remain private and malicious attacks to be detected, respectively. In this paper, we …

Recent years have witnessed the fast advance of security research for networked dynamical
system (NDS). Considering the latest inference attacks that enable stealthy and precise …

Opacity and attack detectability are important properties for any system as they allow the
states to remain private and malicious attacks to be detected, respectively. In this paper, we …

Protecting personal data in ubiquitous smart environments is crucial to ensure user privacy
and trust in artificial intelligence (AI) applications. This paper explores approaches and …

This paper studies the problem of designing optimal privacy mechanism with less energy
cost. The eavesdropper and the defender with limited resources should choose which …