Using Cloud Computing Based Crowdsourcing for Security and Privacy Settings of Android Users

With the widespread use of mobile devices, security and privacy concerns have been attracting increasing attention. However, it is challenging for Android users to apply the appropriate settings to protect their devices. Therefore, a cloud-based solution is proposed in this paper, which works based on crowdsourcing to generate recommended security and privacy settings for Android users. Following the suggestions of security experts, ordinary users can readily understand how to properly set up their devices for security enforcement. Our solution collects security-related data from experts, and a weight-based algorithm is introduced to determine data priority and credibility. Finally, the recommended security and privacy settings are created based on these data. The evaluation results demonstrate that our solution can effectively improve the robustness and reliability of Android devices.