An empirical study of problems and evaluation of IoT malware classification label sources

Keyphrases

• Antivirus 100%
• Classification Labels 100%
• IoT Malware 100%
• Malware 50%
• Family Classification 33%
• Malware Family 33%
• Smart IoT 33%
• Malware Sample 33%
• Learning Model 16%
• Hierarchical Classification 16%
• Classification Model 16%
• Virus Detection 16%
• Malicious Behavior 16%
• IoT Devices 16%
• Device Research 16%
• Quality Label 16%
• Android Malware 16%
• Malicious Code 16%
• Malware Dataset 16%
• Naming Rule 16%
• Sample Clustering 16%
• Label Quality 16%
• Detection Technology 16%
• Windows Malware 16%
• Label Similarity 16%

Computer Science

• Malware 100%
• Internet-Of-Things 100%
• Antivirus 62%
• Malware Sample 25%
• Malware Family 25%
• Accuracy Research 25%
• Android Malware 12%
• Classification Models 12%
• Ad-Aware 12%
• Detection Technology 12%
• Virus Detection 12%
• Malicious Code 12%
• Classification Hierarchy 12%