Enabling End-Users to Protect their Privacy

M. Barhamgi, Mu Yang, Chia-Mu Yu, Y. Yu, A. Bandara, D. Benslimane, B. Nuseibeh
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引用次数: 8

Abstract

In this paper we present our ongoing work to build an approach to empower users of IoT-based cyber physical systems to protect their privacy by themselves. Our approach allows users to identify the privacy risks involved in sharing private data with a data consumer, assess the value of their private data based on identified risks and take a pragmatic data sharing decision balancing the risks with the benefits generated by the sharing. Our approach features a knowledgebase, called the Privacy Oracle, that exploits the power of the Semantic Web to determine how raw metadata can be combined by data consumers to infer privacy-sensitive information as well as the privacy risks associated with the disclosure of inferred information.
使最终用户能够保护他们的隐私
在本文中,我们介绍了我们正在进行的工作,以建立一种方法,使基于物联网的网络物理系统的用户能够自己保护他们的隐私。我们的方法允许用户识别与数据消费者共享私人数据所涉及的隐私风险,根据已识别的风险评估其私人数据的价值,并采取务实的数据共享决策,平衡风险与共享带来的利益。我们的方法的特点是一个知识库,称为隐私Oracle,它利用语义网的力量来确定数据消费者如何结合原始元数据来推断隐私敏感信息,以及与推断信息披露相关的隐私风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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