Researchers have developed a novel hybrid framework designed to detect crypto-ransomware attacks targeting enterprise shared storage. This system utilizes a Region of Interest (RoI) technique to analyze network traffic and extract Indicators of Compromise (IoCs). These IoCs enhance existing security tools, while RoI-derived features are fed into a machine learning model. The ML module demonstrates high efficacy, achieving a 99.64% detection precision with a 0% false negative rate and a 99.44% accuracy for early detection. AI
IMPACT Enhances enterprise security by providing a more effective method for detecting and preventing ransomware attacks on shared data.
RANK_REASON This is a research paper detailing a new technical framework for security, published on arXiv.
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