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A Formal Treatment of Privacy in Video Data

机译:网络数据中隐私的正式待遇

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Video surveillance has become prevalent both in public spaces, e.g. to prevent crimes, and in private areas, e.g. in order to assist the staff in assisted living communities. This leads to privacy concerns regarding the ability of third parties to create profiles and track individuals, possibly across several services. Usually, techniques such as pixelation and silhouettes are used to anonymize individuals. However, no formal treatment of privacy for video data has been proposed and current anonymization techniques are simply "best practice". To resolve this unsatisfactory state of affairs, we initiate a formal treatment of privacy in video data and propose a game-based notion for privacy in video data that is inspired by cryptographic security games. We show for an exemplary video privacy scheme that this scheme satisfies our notion with good parameters. In order to evaluate these parameters, we conduct a user study where the users essentially play the role of the adversary in the privacy game. Our approach can be used as a blueprint to evaluate the privacy of other video privacy schemes.
机译:视频监控在公共场所普遍存在,例如公共空间。防止犯罪,以及私人地区,例如私人地区。为了协助员工在援助生活社区。这导致隐私问题关于第三方创建个人资料和跟踪个人的能力,可能会跨越几个服务。通常,像素化和剪影等技术用于匿名个体。但是,已经提出了对视频数据的隐私的正式治疗,并且当前的匿名化技术只是“最佳实践”。为了解决这种不满意的事态,我们在视频数据中发起了对隐私的正式治疗,并提出了一种基于游戏的概念,以获取受加密安全游戏的视频数据的隐私。我们展示了这种方案满足我们具有良好参数的概念的示例性视频隐私方案。为了评估这些参数,我们开展用户学习,用户基本上在隐私游戏中扮演对手的作用。我们的方法可用作评估其他视频隐私计划的隐私的蓝图。

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