Nicolas Alvarez

A 200K Malware Hash Dataset with Experimental Splits for Machine Learning Classification

This dataset provides a comprehensive manifest of 201,549 SHA-256 hashes representing both malicious (malware) and benign (goodware) software samples. It is specifically designed to facilitate reproducibility in machine learning and artificial intelligence experiments for malware detection. The provided manifest.csv fi...