CRiOS

Abstract

Mobile applications - or apps - are one of the main reasons for the unprecedented success smart phones and tablets have experienced over the last decade. Apps are the main interfaces that users deal with when engaging in online banking, checking travel itineraries, or browsing their social network profiles while on the go. Previous research has studied various aspects of mobile application security including data leakage and privilege escalation through confused deputy attacks. However, the vast majority of mobile application research targets Google's Android platform. Few research papers analyze iOS applications and those that focus on the Apple environment perform their analysis on comparatively small datasets (i.e., thousands in iOS vs. hundreds of thousands in Android). As these smaller datasets call into question how representative the gained results are, we propose, implement, and evaluate CRiOS, a fully-automated system that allows us to amass comprehensive datasets of iOS applications which we subject to large-scale analysis. To advance academic research into the iOS platform and its apps, we plan on releasing CRiOS as an open source project.