상세정보
학술지
Quality of Private Information (QoPI) Model for Effective Representation and Prediction of Privacy Controls in Mobile Computing
- 발행일
- 201705
- 출처
- Computers & Security, v.66, pp.1-19
- ISSN
- 0167-4048
- 출판사
- Elsevier Advanced Technology
- 협약과제
- 16MH1500, 상황인지기반 멀티팩터 인증 및 전자서명을 제공하는 범용인증플랫폼기술 개발, 김수형
- 초록
- Most existing privacy-control methods in mobile computing support only binary and static privacy controls; therefore, it is usually difficult for mobile users to make use of effective privacy controls by considering both the necessity of an application and the types and quality of private information to be provided to the application under dynamic usage scenarios. In this paper, we define a quality of private information (QoPI) model to represent various types and quality levels of users' private information required by mobile applications. Using the QoPI model, we can also represent contextual properties that might affect the selection of the types and quality of private information in dynamic mobile computing situations. Users' common privacy-control patterns can be characterized, represented, and managed by using this model, and we can assist users in achieving context-aware and personalized privacy control. We evaluate the effectiveness of using the QoPI model by analyzing the data that we collected from users while allowing them to consider practical mobile computing situations. The analysis results show that the users actively utilized the fine-grained (multi-level) privacy controls supported by using the QoPI model, and their privacy-control patterns could be effectively collected and predicted based on this model. The results also show that consideration of contextual properties is essential for improving the accuracy and time performance of predicting an appropriate QoPI level to be used when a user accesses a mobile application.
- KSP 제안 키워드
- Context aware, Mobile Application(APP), Mobile computing, Multi-level, Personalized privacy, Privacy control, Private information, Quality level, control method, fine-grained, mobile users