Application of Deep Reinforcement Learning (DRL) for Malware Detection
Mangadevi Atti,
Manas Kumar Yogi
Abstract:Malware poses a significant threat to computer systems and networks, necessitating advanced detection methods to safeguard against potential cyber-attacks. This paper investigates the application of Deep Reinforcement Learning (DRL) for malware detection, leveraging its ability to learn complex patterns and behaviours from raw data. The study employs a DRL framework to train an agent to identify malicious software based on dynamic features extracted from executable files. A comprehensive evaluation is conducte… Show more
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