ROI：一种识别接收个人数据组织的方法
ROI: A method for identifying organizations receiving personal data
AI总结：
本文提出ROI方法，通过自动化技术识别接收个人数据的组织，达到95.71%的识别精度。
摘要：
许多研究通过网站、移动应用或智能设备揭示了数字生态系统中个人数据的大量收集。这一事实往往被大多数用户忽视，他们也不清楚收集者会将他们的个人数据共享给全球许多不同的组织。本文评估了现有技术中可用于识别接收此类个人数据的组织的方法。基于我们的发现，我们提出了ROI（接收组织标识符），一种完全自动的方法，结合了不同技术，以在识别接收个人数据的组织时达到95.71%的精确度得分。我们通过在真实环境中评估10,000个Android应用程序，揭示了接收用户个人数据的组织。
英文摘要：
Many studies have exposed the massive collection of personal data in the digital ecosystem through, for instance, websites, mobile apps, or smart devices. This fact goes unnoticed by most users, who are also unaware that the collectors are sharing their personal data with many different organizations around the globe. This paper assesses techniques available in the state of the art to identify the organizations receiving this personal data. Based on our findings, we propose ROI (Receiver Organization Identifier), a fully automated method that combines different techniques to achieve a 95.71% precision score in identifying an organization receiving personal data. We demonstrate our method in the wild by evaluating 10,000 Android apps and exposing the organizations that receive users' personal data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
