Malware on mobile phones is rapidly increasing. There are many reasons for this, but the primary one is the ease of monetizing malware on mobile phones, Attackers are incentivized to create more malware faster and cheaper. They are overwhelming the limited resources of malware researchers with this glut of cheap and "good enough" malware.
Malware can be identified by humans, but there is insufficient time to handle all that is released daily by malware writers. There is a need to develop both better heuristics and the tools that let an analyst separate the wheat from the chaff.
The presentation will cover not just the development of heuristics for mobile malware, but also its path from simple detection to more advanced and more successful(i.e fewer false positives) detection. Along the way we will cover the missteps and pitfalls that slow the development of automation. Included will be first steps at detecting malware that uses commercial obfuscation.