Resilient and Adaptive Android Malware Fingerprinting and Detection

In this chapter, we present PetaDroid, an Android detection system that provides, in contrast to MalDozer (previous chapter), (1) resiliency to common obfuscation techniques by introducing code randomization during training; (2) adaptation to operating system and malware change overtime by introducing the use of confidence-based decisions to collect adaptation datasets overtime. In this context, we identify several limitations and gaps in the state-of-the-art Android malware detection solutions.