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What is Automatic Malware Classification and New Malware Detection Using Machine Learning about?

The document presents a machine learning-based system for automatic malware classification and detection, addressing the limitations of traditional antivirus methods. It consists of three modules: data processing for feature extraction, decision-making for classification, and a detection module using the shared nearest neighbor clustering algorithm. The proposed system demonstrates high accuracy, achieving 98.9% in classifying unknown malware and 86.7% in detecting new malware types.

Author

Betul Senol

Language

EN