Reasoning about obfuscated private information: who have lied and how to lie

X. An, D. Jutla, N. Cercone
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引用次数: 4

Abstract

In ubiquitous environments, context sharing among agents should be made privacy-conscious. Privacy preferences are generally specified to govern the context exchanging among agents. Besides who has rights to see what information, a user's privacy preference could also designate who has rights to have what obfuscated information. By obfuscation, people could present their private information in a coarser granularity, or simply in a falsified manner, depending on the specific situations. Nevertheless, people cannot randomly obfuscate their private information because by reasoning the recipients could detect the obfuscation. In this paper, we present a Bayesian network-based method to reason about the obfuscation. On the one hand, it can be used to find if the received information has been obfuscated, and if so, what the true information could be; on the other hand, it can be used to help the obfuscators reasonably obfuscate their private information.
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关于模糊的私人信息的推理:谁撒谎了,如何撒谎
在无处不在的环境中,代理之间的上下文共享应该具有隐私意识。通常指定隐私偏好来管理代理之间的上下文交换。除了谁有权查看哪些信息之外,用户的隐私偏好还可以指定谁有权拥有哪些被混淆的信息。通过混淆,人们可以根据具体情况以更粗的粒度或简单地以伪造的方式呈现他们的私人信息。然而,人们不能随意混淆他们的私人信息,因为通过推理,收件人可以检测到这种混淆。本文提出了一种基于贝叶斯网络的模糊推理方法。一方面,它可以用来发现接收到的信息是否被混淆了,如果是,真实的信息可能是什么;另一方面,它可以用来帮助混淆者合理地混淆他们的私人信息。
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A Study of Users' Privacy Preferences for Data Sharing on Symptoms-Tracking/Health App. Preserving Genomic Privacy via Selective Sharing. For human eyes only: security and usability evaluation Secure communication over diverse transports: [short paper] A machine learning solution to assess privacy policy completeness: (short paper)
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