Md Zahidul Islam
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The paper proposes a privacy-aware machine unlearning framework using SISA training to efficiently remove the influence of specific training data from RL-based ransomware detectors with minimal performance loss.
TL-RL-FusionNet is a novel reinforcement learning-guided framework that enhances ransomware detection by adaptively focusing on complex, evolving threats, achieving high accuracy and superior efficiency compared to static models.
Papers
TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats
TL-RL-FusionNet is a novel reinforcement learning-guided framework that enhances ransomware detection by adaptively focusing on complex, evolving threats, achieving high accuracy and superior efficien…