Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach

DOI10.1109/TSP.2018.2879037zbMath1414.62349OpenAlexW2899685079WikidataQ128981347 ScholiaQ128981347MaRDI QIDQ4628177

Ling Shi, Daniel E. Quevedo, Ziyang Guo, Dawei Shi

Publication date: 6 March 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2018.2879037

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Non-Markovian processes: estimation (62M09) Statistical aspects of information-theoretic topics (62B10)

Related Items (13)

Fast state estimation under sensor attacks: a sensor categorization approach ⋮ Distributed filtering for nonlinear systems under Dempster–Shafer theory subject to malicious cyber attacks ⋮ Energy efficient management for distributed state estimation under DoS attacks ⋮ Distributed resilient fusion estimation for resource-limited CPSs under hybrid attacks ⋮ Optimal strictly stealthy attacks in cyber-physical systems with multiple channels under the energy constraint ⋮ Security of networked control systems subject to deception attacks: a survey ⋮ Tampering attack detection for remote interval observer ⋮ Optimal DoS attack scheduling for multi-sensor remote state estimation over interference channels ⋮ Resilient strategy design for cyber-physical system under active eavesdropping attack ⋮ Detection against randomly occurring complex attacks on distributed state estimation ⋮ An adaptive cubature Kalman filter for nonlinear systems against randomly occurring injection attacks ⋮ Detection of stealthy false data injection attacks against cyber-physical systems: a stochastic coding scheme ⋮ Distributed secure estimation for cyber-physical systems with fading measurements and false data injection attacks

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