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.
Static analysis of executables for coll aborative malware detection on android
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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.