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Adaptive fuzzy consensus secure control of stochastic nonlinear multi-agent systems with false data injection attacks

International Journal of Systems Science
This paper discusses the fuzzy adaptive consensus secure control problem for a class of stochastic nonlinear multi-agent systems (MASs) with unknown false data injection attacks. Fuzzy logic systems (FLSs) are used to model unknown nonlinear functions. A
Hui Li, Shaocheng Tong
semanticscholar   +1 more source

Vulnerability Analysis of Distributed State Estimator Under False Data Injection Attacks

IEEE Transactions on Information Forensics and Security
This paper focuses on the vulnerability and strict vulnerability of distributed state estimators under false data injection (FDI) attacks, where adversaries aim to exert unbounded effects on the estimation error dynamics by injecting malicious data into ...
Pengyu Li, Dan Ye
semanticscholar   +1 more source

A Learning Testbed for False Data Injection Attacks

2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2023
Filip Natvig   +2 more
openaire   +1 more source

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Microgrid Scheduling Optimization under False Data Injection Attack

2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT), 2022
Wen Han   +3 more
openaire   +1 more source

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2019

Ca-A Cancer Journal for Clinicians, 2019
Rebecca L Siegel   +2 more
exaly  

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