Optimal Defense Strategy Selection Algorithm Based on Reinforcement Learning and Opposition-Based Learning

Optimal Defense Strategy Selection Algorithm Based on Reinforcement Learning and Opposition-Based Learning

Industrial control systems (ICS) are facing increasing cybersecurity issues, leading to enormous threats and risks to numerous industrial infrastructures. In order to resist such threats and risks, it is particularly important to scientifically construct security strategies before an attack occurs....

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Bibliographic Details
Main Authors: Yiqun Yue, Yang Zhou, Lijuan Xu, Dawei Zhao
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
industrial control systems
optimal protection strategy
reinforcement learning
differential evolution algorithms
opposition-based learning
Online Access:https://www.mdpi.com/2076-3417/12/19/9594

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