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CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation. (arXiv:2308.05978v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
The expansion of the Internet-of-Things (IoT) paradigm is inevitable, but
vulnerabilities of IoT devices to malware incidents have become an increasing
concern. Recent research has shown that the integration of Reinforcement
Learning with Moving Target Defense (MTD) mechanisms can enhance cybersecurity
in IoT devices. Nevertheless, the numerous new malware attacks and the time
that agents take to learn and select effective MTD techniques make this
approach impractical for real-world IoT scenarios. To tackle this issue, this
work presents CyberForce, a …
cybersecurity defense devices expansion framework incidents integration internet iot iot devices malware mitigation moving moving target defense paradigm research target things vulnerabilities