2 papers
cs.CR2026
TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats
Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi +1
Modern ransomware exhibits polymorphic and evasive behaviors by frequently modifying execution patterns to evade detection. This dynamic nature disrupts feature spaces and limits t…
cs.CR2026
Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection
Jannatul Ferdous, Rafiqul Islam, Md Zahidul Islam
Ransomware detection systems increasingly rely on behavior-based machine learning to address evolving attack strategies. However, emerging privacy compliance, data governance, and…