Android Malware Detection using Machine Learning: Data-Driven Fingerprinting and Threat Intelligence

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures.

First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android appl...