Malware-Detection-using-Binary-Data
PublicThis project implements a high-accuracy malware detection system using the EMBER 2018 binary dataset and LightGBM. It extracts byte-level and metadata features from binaries to classify files as benign or malicious, achieving up to 90% test accuracy with scalable, efficient training and extensive model evaluation through visualizations and metrics.
Creat：2025-06-30T04:14:28
Update：2025-06-30T04:33:07
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