出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：iOS is a popular operating system on Apple’s smartphones, and recent security events haveshown the possibility of stealing the users' privacy in iOS without being detected, such asXcodeGhost. So, we present the design and implementation of a malware vetting system, calledDMIA. DMIA first collects runtime information of an app and then distinguish betweenmalicious and normal apps by a novel machine learning model. We evaluated DMIA with 1000apps from the official App Store. The results of experiments show that DMIA is effective indetecting malwares aimed to steal privacy.
