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As more attention is paid to security in the context of control systems and as attacks occur to real control systems throughout the world, it has become clear that some of the most nefarious attacks are those that evade detection. The term…

Systems and Control · Computer Science 2017-10-10 Navid Hashemi , Carlos Murguia , Justin Ruths

We address the problem of robust state estimation of a class of discrete-time nonlinear systems with positive-slope nonlinearities when the sensors are corrupted by (potentially unbounded) attack signals and bounded measurement noise. We…

Signal Processing · Electrical Eng. & Systems 2018-09-21 Tianci Yang , Carlos Murguia , Margreta Kuijper , Dragan Nešić

In this paper, we simplify the coordination control approach by removing the supervisor for the coordinator from the closed-loop system and relax the restrictions placed on a coordinator. This relaxation results in the simplification of the…

Optimization and Control · Mathematics 2015-02-02 Jan Komenda , Tomáš Masopust , Jan H. van Schuppen

In autonomous driving, behavior prediction is fundamental for safe motion planning, hence the security and robustness of prediction models against adversarial attacks are of paramount importance. We propose a novel adversarial backdoor…

Computer Vision and Pattern Recognition · Computer Science 2023-11-23 Mozhgan Pourkeshavarz , Mohammad Sabokrou , Amir Rasouli

Actuator injection attacks pose real threats to all industrial plants controlled through communication networks. In this manuscript, we study the possibility of constraining the controller output (i.e. the input to the actuators) by means…

Systems and Control · Electrical Eng. & Systems 2022-01-03 Cédric Escudero , Carlos Murguia , Paolo Massioni , Eric Zamaï

With the gradual advancement of a novel idea of the distributed control of the multiagent systems, an event-triggered control protocol has received significant research attention, especially in designing the controller for the nonlinear…

Multiagent Systems · Computer Science 2022-01-04 Gurmu Meseret Debele

As an information-flow privacy property, opacity characterizes whether a malicious external observer (referred to as an intruder) is able to infer the secret behavior of a system. This paper addresses the problem of opacity enforcement…

Formal Languages and Automata Theory · Computer Science 2025-05-12 Wei Duan , Ruotian Liu , Maria Pia Fanti , Christoforos N. Hadjicostis , Zhiwu Li

In recent years, machine learning models have been shown to be vulnerable to backdoor attacks. Under such attacks, an adversary embeds a stealthy backdoor into the trained model such that the compromised models will behave normally on clean…

Cryptography and Security · Computer Science 2022-10-18 Khoa D. Doan , Yingjie Lao , Ping Li

Transient execution attacks, also called speculative execution attacks, have drawn much interest as they exploit the transient execution of instructions, e.g., during branch prediction, to leak data. Transient execution is fundamental to…

Cryptography and Security · Computer Science 2020-09-01 Wenjie Xiong , Jakub Szefer

Industrial Control Systems (ICSs) rely on insecure protocols and devices to monitor and operate critical infrastructure. Prior work has demonstrated that powerful attackers with detailed system knowledge can manipulate exchanged sensor data…

Cryptography and Security · Computer Science 2022-04-21 Herson Esquivel-Vargas , John Henry Castellanos , Marco Caselli , Nils Ole Tippenhauer , Andreas Peter

In this paper, we study a security problem of protecting secrets in distributed systems. Specifically, we employ discrete-event systems to describe the structure and behaviour of distributed systems, in which global secret information is…

Systems and Control · Electrical Eng. & Systems 2024-02-15 Shoma Matsui , Kai Cai , Karen Rudie

To advance the paradigm of autonomous operation for nuclear power plants, a data-driven machine learning approach to control is sought. Autonomous operation for next-generation reactor designs is anticipated to bolster safety and improve…

Systems and Control · Electrical Eng. & Systems 2022-03-01 Akshay J. Dave , Haoyu Wang , Roberto Ponciroli , Richard B. Vilim

A new and successful attack strategy in neural cryptography is presented. The neural cryptosystem, based on synchronization of neural networks by mutual learning, has been recently shown to be secure under different attack strategies. The…

Disordered Systems and Neural Networks · Physics 2009-11-10 L. N. Shacham , E. Klein , R. Mislovaty , I. Kanter , W. Kinzel

Over-the-Air (OtA) computation is a newly emerged concept for computing functions of data from distributed nodes by taking advantage of the wave superposition property of wireless channels. Despite its advantage in communication efficiency,…

Information Theory · Computer Science 2023-12-15 David Nordlund , Zheng Chen , Erik G. Larsson

This paper presents a detection algorithm for sensor attacks and a resilient state estimation scheme for a class of uniformly observable nonlinear systems. An adversary is supposed to corrupt a subset of sensors with the possibly unbounded…

Systems and Control · Computer Science 2021-01-11 Junsoo Kim , Chanhwa Lee , Hyungbo Shim , Yongsoon Eun , Jin Heon Seo

This chapter presents an overview on actuator attacks that exploit zero dynamics, and countermeasures against them. First, zero-dynamics attack is re-introduced based on a canonical representation called normal form. Then it is shown that…

Systems and Control · Electrical Eng. & Systems 2021-01-05 Hyungbo Shim , Juhoon Back , Yongsoon Eun , Gyunghoon Park , Jihan Kim

Research on transient execution attacks including Spectre and Meltdown showed that exception or branch misprediction events might leave secret-dependent traces in the CPU's microarchitectural state. This observation led to a proliferation…

Qualitative opacity of a secret is a security property, which means that a system trajectory satisfying the secret is observation-equivalent to a trajectory violating the secret. In this paper, we study how to synthesize a control policy…

Formal Languages and Automata Theory · Computer Science 2024-12-04 Sumukha Udupa , Jie Fu

This study delves into the intricate challenges encountered by multi-agent systems (MASs) operating within environments that are subject to deception attacks and Markovian randomly switching topologies, particularly in the context of…

Optimization and Control · Mathematics 2024-10-25 Jingyao Wang , Zeqin Zeng , Jinghua Guo , Zhisheng Duan

In this paper, we consider the event-triggered cooperative robust practical output regulation problem for a class of linear minimum-phase multi-agent systems. We first convert our problem into the cooperative robust practical stabilization…

Optimization and Control · Mathematics 2017-06-07 Wei Liu , Jie Huang