Secure Change Control for Supply Chain Systems via Dynamic Event Triggered Using Reinforcement Learning under DoS Attacks

Secure Change Control for Supply Chain Systems via Dynamic Event Triggered Using Reinforcement Learning under DoS Attacks

In this paper, a distributed secure change control scheme for supply chain systems is presented under denial-of-service (DoS) attacks. To eliminate the effect of DoS attacks on supply chain systems, a secure change compensation is designed. A distributed policy iteration method is established to app...

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Bibliographic Details
Main Authors: Lingling Fan, Bolin Zhang, Shuangshuang Xiong, Qingkui Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
denial-of-service (DoS) attacks
secure change control scheme
supply chain systems
dynamic event-triggered mechanism (DETM)
reinforcement learning (RL)
reinforce–critic–actor (RCA)
Online Access:https://www.mdpi.com/2079-9292/13/6/1136

Internet

https://www.mdpi.com/2079-9292/13/6/1136

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