Results 161 to 170 of about 6,155,073 (227)

Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey

IEEE/CAA Journal of Automatica Sinica, 2022
With the booming of cyber attacks and cyber criminals against cyber-physical systems (CPSs), detecting these attacks remains challenging. It might be the worst of times, but it might be the best of times because of opportunities brought by machine ...
Jun Zhang   +5 more
semanticscholar   +1 more source

Adversarial Attack Mitigation Strategy for Machine Learning-Based Network Attack Detection Model in Power System

IEEE Transactions on Smart Grid, 2023
The network attack detection model based on machine learning (ML) has received extensive attention and research in PMU measurement data protection of power systems. However, well-trained ML-based detection models are vulnerable to adversarial attacks. By
Rong Huang, Yuancheng Li
semanticscholar   +1 more source

Attack Detection for Cyber-Physical Systems: A Zonotopic Approach

IEEE Transactions on Automatic Control, 2023
This article studies the problem of sensor attack detection for a class of cyber-physical systems with bounded perturbations. A novel attack detection method is proposed based on zonotopic reachability analysis.
Jitao Li   +3 more
semanticscholar   +1 more source

Automated DDOS attack detection in software defined networking

Journal of Network and Computer Applications, 2021
Software-Defined Networking (SDN) is a networking paradigm that has redefined the term network by making the network devices programmable. SDN helps network engineers to monitor the network expeditely, control the network from a central point, identify ...
N. Ahuja   +3 more
semanticscholar   +1 more source

A survey on attack detection, estimation and control of industrial cyber-physical systems.

ISA transactions, 2021
Cyber-physical systems (CPSs) are complex systems that involve technologies such as control, communication, and computing. Nowadays, CPSs have a wide range of applications in smart cities, smart grids, smart manufacturing and intelligent transportation ...
Dan Zhang   +4 more
semanticscholar   +1 more source

An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks

Computer Communications, 2021
Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is addressing countless limitation of traditional health-care systems such as quality of patient care, healthcare costs, shortage of medical staff and inadequate medical ...
Prabhat Kumar   +2 more
semanticscholar   +1 more source

A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective

IEEE Transactions on Intelligent Vehicles, 2022
Recent advances in attack/anomaly detection and resilience strategies for connected and automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective.
Zhiyang Ju   +5 more
semanticscholar   +1 more source

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