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引用次数: 9
摘要
现有的工作已经研究了如何收集和分析人类对移动设备的使用,以帮助进一步了解人类的行为。典型的数据收集利用用户许可安装在移动设备上的应用程序或后台服务,通过数据污染过程通过加速度计、通话记录、位置、Wi-Fi传输等收集用户使用数据。在现有工作的基础上,本研究开发了一个名为Panorama (Privacy-sensitive Resource Access Monitoring for Android Systems)的系统来收集应用程序行为,而不是用户行为。目标是提供分析后台服务如何访问移动资源的方法,并潜在地识别访问敏感用户信息的可疑应用程序。全景实时跟踪移动资源的访问,增强了污染跟踪的概念。每个已识别的用户隐私敏感资源都被标记和标记以进行跟踪。其结果是一个动态的、实时的工具,用于监视应用程序的流程流。本文介绍了全景图的发展,并对各种合法的应用程序行为进行了分析。
Privacy Sensitive Resource Access Monitoring for Android Systems
Existing works have studied how to collect and analyze human usage of mobile devices, to aid in further understanding of human behavior. Typical data collection utilizes applications or background services installed on the mobile device with user permission to collect user usage data via accelerometer, call logs, location, Wi-Fi transmission, etc. through a data tainting process. Built on the existing work, this research developed a system called Panorama (Privacy-sensitive Resource Access Monitoring for Android Systems) to collect application behavior instead of user behavior. The goal is to provide the means to analyze how background services access mobile resources, and potentially to identify suspicious applications that access sensitive user information. Panorama tracks the access of mobile resources in real time and enhances the concept of taint tracking. Each identified user privacy-sensitive resource is tagged and marked for tracking. The result is a dynamic, real-time tool that monitors the process flow of applications. This paper presents the development of Panorama and a set of analysis with respect to a variety of legitimate application behaviors.