Abstract 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.

中文翻译：

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具有安全和隐私意识的基于功能的移动应用推荐系统

摘要 如今，有各种各样的移动设备应用程序来执行任务，例如支付账单和订购食物。然而，一些应用程序（恶意）声称它们执行特定任务只是为了引诱用户损坏他们的设备和/或执行恶意活动，例如泄露敏感信息。因此，用户需要一种方法来选择安全且满足其需求的应用程序。推荐系统目前用于选择应用程序，但大多数方法都没有评估安全性和隐私性，并且在评估时只考虑权限。在这种情况下，这项工作提出了一种新颖的系统来评估和建议应用程序。主要贡献是增加了一个安全层，