A survey on attack detection and resilience for connected and automated vehicles: From vehicle dynamics and control perspective

Z Ju, H Zhang, X Li, X Chen, J Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recent advances in attack/anomaly detection and resilience strategies for connected and
automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective …

Brief survey on attack detection methods for cyber-physical systems

S Tan, JM Guerrero, P **e, R Han… - IEEE Systems …, 2020 - ieeexplore.ieee.org
In recent years, cyber-physical systems (CPSs) have attracted intense attention due to their
potential applications in many areas. However, the strong reliance on communication …

Secure state estimation and control of cyber-physical systems: A survey

D Ding, QL Han, X Ge, J Wang - IEEE Transactions on Systems …, 2020 - ieeexplore.ieee.org
Cyber-physical systems (CPSs) empower the integration of physical processes and cyber
infrastructure with the aid of ubiquitous computation resources and communication …

Big data for cyber physical systems in industry 4.0: a survey

LD Xu, L Duan - Enterprise Information Systems, 2019 - Taylor & Francis
With the technology development in cyber physical systems and big data, there are huge
potential to apply them to achieve personalization and improve resource efficiency in …

Observer-based control for cyber-physical systems with periodic DoS attacks via a cyclic switching strategy

Y Zhu, WX Zheng - IEEE Transactions on Automatic Control, 2019 - ieeexplore.ieee.org
This article studies the observer-based output feedback control problem for a class of cyber-
physical systems with periodic denial-of-service (DoS) attacks, where the attacks coexist …

Levenberg–Marquardt backpropagation training of multilayer neural networks for state estimation of a safety-critical cyber-physical system

C Lv, Y **ng, J Zhang, X Na, Y Li, T Liu… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
As an important safety-critical cyber-physical system (CPS), the braking system is essential
to the safe operation of the electric vehicle. Accurate estimation of the brake pressure is of …

Explainable ai for medical image analysis in medical cyber-physical systems: Enhancing transparency and trustworthiness of iomt

W Liu, F Zhao, A Shankar, C Maple… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Medical image analysis plays a crucial role in healthcare systems of Internet of Medical
Things (IoMT), aiding in the diagnosis, treatment planning, and monitoring of various …

Byzantine machine learning: A primer

R Guerraoui, N Gupta, R Pinot - ACM Computing Surveys, 2024 - dl.acm.org
The problem of Byzantine resilience in distributed machine learning, aka Byzantine machine
learning, consists of designing distributed algorithms that can train an accurate model …

Measuring smart grid resilience: Methods, challenges and opportunities

L Das, S Munikoti, B Natarajan, B Srinivasan - Renewable and Sustainable …, 2020 - Elsevier
With growing concerns related to attacks on the cyber and physical assets associated with
the power grid along with the need to mitigate impact of natural disasters, resilience has …

State of the art of cyber-physical systems security: An automatic control perspective

YZ Lun, A D'Innocenzo, F Smarra, I Malavolta… - Journal of Systems and …, 2019 - Elsevier
Cyber-physical systems are integrations of computation, networking, and physical
processes. Due to the tight cyber-physical coupling and to the potentially disrupting …