ARCS: Adaptive Reinforcement Learning Framework for Automated Cybersecurity Incident Response Strategy Optimization

ARCS: Adaptive Reinforcement Learning Framework for Automated Cybersecurity Incident Response Strategy Optimization

The increasing sophistication and frequency of cyber attacks necessitate automated and intelligent response mechanisms that can adapt to evolving threats. This paper presents ARCS (Adaptive Reinforcement learning for Cybersecurity Strategy), a novel framework that leverages deep reinforcement learni...

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Bibliographic Details
Main Authors: Shaochen Ren, Jianian Jin, Guanchong Niu, Yang Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
reinforcement learning
automated incident response
cybersecurity optimization
security event analytics
Online Access:https://www.mdpi.com/2076-3417/15/2/951
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