Attack Detection and Approximation in Nonlinear Networked Control Systems Using Neural Networks

In networked control systems (NCS), a certain class of attacks on the communication network is known to raise traffic flows causing delays and packet losses to increase. This paper presents a novel neural network (NN)-based attack detection and estimation scheme that captures the abnormal traffic fl...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 31; H. 1; S. 235 - 245
Hauptverfasser:	Niu, Haifeng, Bhowmick, Chandreyee, Jagannathan, Sarangapani
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Actor-critic network Adaptive systems Artificial neural networks attack detection attack estimation Communication Communication networks Communications networks Computer simulation Control systems Control theory Delays Dynamic programming event-triggered control Feedback loops flow control networked control system (NCS) neural network (NN) Neural networks Nonlinear control Nonlinear systems Observers optimal control Sensors Traffic congestion Traffic delay Traffic flow
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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