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Explainable Deep Learning Models for Dynamic and Online Malware Classification
April 22, 2024, 4:10 a.m. | Quincy Card, Daniel Simpson, Kshitiz Aryal, Maanak Gupta, Sheikh Rabiul Islam
cs.CR updates on arXiv.org arxiv.org
Abstract: In recent years, there has been a significant surge in malware attacks, necessitating more advanced preventive measures and remedial strategies. While several successful AI-based malware classification approaches exist categorized into static, dynamic, or online analysis, most successful AI models lack easily interpretable decisions and explanations for their processes. Our paper aims to delve into explainable malware classification across various execution environments (such as dynamic and online), thoroughly analyzing their respective strengths, weaknesses, and commonalities. To …
advanced ai models analysis arxiv attacks classification cs.cr deep learning dynamic malware malware attacks malware classification strategies
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