A study on functionality validation for windows malware mutating using reinforcement learning

doi:10.1016/j.infsof.2025.108008

A study on functionality validation for windows malware mutating using reinforcement learning

2026-01-02

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DOI：10.1016/j.infsof.2025.108008

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• Proposing a Reinforcement learning-based framework to create Windows malware mutants aiming to evade ML/DL-based detectors, resulting in actual PE samples. • Introducing various approaches for functionality validation to ensure the executability and designed behaviors of malware samples after modification.

A study on functionality validation for windows malware mutating using reinforcement learning

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