Technical Name | AutomaticIntelligent Malware Detection System | ||
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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 |
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Scientific Breakthrough | - |
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Industrial Applicability | - |
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