Neural-Network-Based Secure State Estimation Under Energy-Constrained Denial-of-Service Attacks: An Encoding-Decoding Scheme

This paper is concerned with the secure state estimation issue for a class of networked nonlinear systems under energy-constrained denial-of-service (EC-DoS) cyber-attacks and encoding-decoding scheme (EDS). The information transmissions between sensors and the estimator are executed via a bandwidth...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on network science and engineering Vol. 10; no. 4; pp. 1 - 14
Main Authors:	Zhang, Yuhan, Wang, Zidong, Zou, Lei, Dong, Hongli, Yi, Xiaojian
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks Constraints Cybersecurity Denial of service attacks Denial-of-service attack Dynamic stability Encoding Encoding-Decoding encoding-decoding scheme Estimation Networked nonlinear systems Neural networks Nonlinear systems Sensors State estimation Transmission efficiency
ISSN:	2327-4697, 2334-329X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!