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Table 2 Distribution of data: a detailed breakdown by classification type and malware families

From: Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity

Dataset

Binary class with counts

Malware category with counts (4 class)

Malware families with counts (16 class)

Obfuscated-MalMem2022

Benign (29,298) (50%)

Benign (29,298) (50%)

Benign (29,298) (50%)

Malware (29,298) (50%)

Ransomware (9791) (16.71%)

Shade (2128) (3.63%)

Ako (2000) (3.41%)

Conti (1988) (3.39%)

Maze (1958) (3.35%)

Pysa (1717) (2.93%)

Spyware (10,020) (17.10%)

Transponder (2410) (4.11%)

Gator (2200) (3.75%)

180Solutions (2000) (3.41%)

Coolwebsearch (2000) (3.41%)

TIBS (1410) (2.41%)

Trojan Horse (9487) (16.19%)

Refroso (2000) (3.41%)

Scar (2000) (3.41%)

Emotet (1967) (3.36%)

Zeus (1950) (3.33%)

Reconyc (1570) (2.68%)