Countering Android Malware: A Scalable Semi-Supervised Approach for Family-Signature Generation
Reducing the effort required by humans in countering malware is of utmost practical value.We describe a scalable, semi-supervised framework to dig into massive data sets of Android applications and identify new malware families.Until 2010, the industrial standard for the detection of malicious applications has been mainly based on signatures; as ea