IEEE Transactions on Mobile Computing

Android Malware Detection via Graphlet Sampling

In this paper, we extend the work done in Android Malware Detection via Graphlet Sampling (CNS 2016). Specifically, we analyze our system, App topologiCal signature through graphleT Sampling (ACTS), in terms of its performance against sampling space size, graph size bias, and sample bias, among other metrics.