Secure state estimation for event-triggered cyber-physical systems against deception attacks

Zhichen Han; Shengbing Zhang; Zengwang Jin; Yanyan Hu

doi:10.1016/j.jfranklin.2022.10.049

ScienceGate Book Chapters

JOURNAL ARTICLE

Secure state estimation for event-triggered cyber-physical systems against deception attacks

Zhichen Han Shengbing Zhang Zengwang Jin Yanyan Hu

Year: 2022 Journal: Journal of the Franklin Institute Vol: 359 (18)Pages: 11155-11185 Publisher: Elsevier BV

DOI: 10.1016/j.jfranklin.2022.10.049

Get Full-Text PDF Get Analytical Report

Keywords:

Deception Computer science Cyber-physical system Computer security Estimator Denial-of-service attack Event (particle physics) Vulnerability (computing) Identification (biology) Mathematics Statistics

Metrics

Cited By

4.33

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Radiation Effects in Electronics

Physical Sciences → Engineering → Electrical and Electronic Engineering

Secure state estimation for event-triggered cyber-physical systems against deception attacks

Metrics

Citation History

Topics

Related Documents

Event-triggered adaptive secure tracking control for nonlinear cyber–physical systems against unknown deception attacks

Neural network-based secure event-triggered control of uncertain industrial cyber-physical systems against deception attacks

Event‐triggered adaptive finite‐time secure control for nonlinear cyber‐physical systems against unknown deception attacks

Secure State Estimation and Attack Identification for Cyber-Physical Systems with Event-triggered Communication against FDI Attacks

Secure Interval Estimation for Event-Triggered Cyber-Physical Systems Under Stealthy Attacks