Functionality-based mobile application recommendation system with security and privacy awareness

摘要

Nowadays, there are a variety of mobile device applications to execute tasks, such as paying bills and ordering food. However, some apps (malicious) claim that they perform a certain task just to lure users to damage their devices and/or execute malicious activities such as leaking sensitive information. Because of that, users need a way to choose an app that is safe and meets their needs. Recommendation systems are currently being used to choose apps, but most approaches do not evaluate security and privacy, and when they do, only permissions are considered. In this context, this work presents a novel system to evaluate and suggest apps. The main contributions are the addition of a security layer, the evaluation of the metrics inside a functionality context and a mapping between permissions and API calls raising user confidence and understanding.