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Context-Aware Learning Privacy Disclosure Policy from Interaction History

机译:中文感知学习隐私披露政策来自互动历史

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Context-aware applications use personal information to provide appropriate services for people. This personal information is often involved in personal privacy. In order to balance the personal privacy concerns against enjoying context-aware services, we propose a conceptual framework and privacy role to control access personal information. Privacy disclosure policy can be learned from people''s interaction history about personal information disclosure using rough set theory. According to deducing from the privacy disclosure policy and context information, a context-aware application is assigned to an adequate privacy role. A case analysis and the initial performance evaluation show that the proposed method is effective.
机译:上下文感知应用程序使用个人信息来为人们提供适当的服务。此个人信息通常涉及个人隐私。为了平衡个人隐私问题,反对享受环境感知服务,我们提出了一个概念框架和隐私作用来控制访问个人信息。隐私披露政策可以通过粗糙集理论从人们的交互历史中学到。根据授予隐私披露策略和上下文信息的贡献,将赋予了充分的隐私作用。案例分析和初始性能评估表明该方法是有效的。

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