With the rising threat of smartphone malware, both academic community and commercial anti-virus companies proposed many methodologies and products to defend against smartphone malware. Thus, how to assess the effectiveness of these defense mechanisms against existing and unknown malware becomes important. We propose
, an automated and extensible system that can evaluate, via large-scale stress tests, the effectiveness of anti-virus systems against a variety of malware samples for the Android platform. Specifically, ADAM can automatically transform an original malware sample to different variants via repackaging and obfuscation techniques in order to evaluate the robustness of different anti-virus systems against malware mutation. The transformation and evaluation processes of ADAM are
for different types of malware, anti-virus systems, and malware transformation techniques. We demonstrate the efficacy of ADAM using 222 Android malware samples that we collected in the wild. Using ADAM, we generate different variants based on our collected malware samples, and evaluate the detection of these variants against commercial anti-virus systems.