Andro-Simnet applies feature similarity measures and community detection to classify Android malware families, reporting 97% classification accuracy and 95% prediction accuracy via K-fold cross-validation.
Andro-dumpsys: anti- malware system based on the similarity of malware creator an d malware centric information
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Andro-Simnet: Android Malware Family Classification Using Social Network Analysis
Andro-Simnet applies feature similarity measures and community detection to classify Android malware families, reporting 97% classification accuracy and 95% prediction accuracy via K-fold cross-validation.