Skip to main content
Article
Using Cloud Computing Based Crowdsourcing for Security and Privacy Settings of Android Users
2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
  • Yuzhu Sun, Nanjing University
  • Xuanyu Liu, Nanjing University
  • Tianchi Wu, Nanjing University
  • Xiao Fu, Nanjing University
  • Bin Luo, Nanjing University
  • Xiaojiang Du, Stevens Institute of Technology
  • Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence
Document Type
Conference Proceeding
Abstract

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.© 2022 IEEE.

DOI
10.1109/GLOBECOM48099.2022.10000775
Publication Date
1-11-2023
Keywords
  • Android,
  • cloud computing,
  • crowdsourcing,
  • security and privacy
Comments

IR conditions: non-described

Citation Information
Y. Sun et al., "Using Cloud Computing Based Crowdsourcing for Security and Privacy Settings of Android Users,"