Technical Name AutomaticIntelligent Malware Detection System
Project Operator TWISC@NCTU
Project Host 謝續平
Summary
Mutated malware now grows rapidly. Techniques, such as packing, polymorphism,metamorphism, can easily evade traditional rule-based detection mechanisms,this makes manual malware detection overloaded. This system uses Machine Learning to overcome the mutation behaviorlearn the patternsrelations between malwares. As to the features in this system, nearly 68,000 dimensions are fet
Scientific Breakthrough
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Industrial Applicability
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