Demystifying privacy in sensory data: A QoI based approach

Supriyo Chakraborty, Haksoo Choi, M. Srivastava
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引用次数: 28

Abstract

There is a growing consensus regarding the emergence of privacy concerns as a major deterrent towards the widespread adoption of emerging technologies such as mobile healthcare, participatory sensing and other social network based applications. In this paper, we motivate the need for privacy awareness, present a taxonomy of the privacy problems, and the various existing solutions. We highlight the tension that exists between quality of service at the receiver and the privacy requirement at the source and present a linear program formalization to model the tradeoff between the two objectives. We further present the design and architecture of SensorSafe, a framework which allows privacy-aware sharing of sensory information.
揭开感官数据隐私的神秘面纱:基于qi的方法
越来越多的人认为,隐私问题的出现是阻碍移动医疗、参与式传感和其他基于社交网络的应用等新兴技术广泛采用的主要因素。在本文中,我们激发了对隐私意识的需求,提出了隐私问题的分类,以及各种现有的解决方案。我们强调了在接收方的服务质量和源方的隐私要求之间存在的紧张关系,并提出了一个线性计划形式化来模拟这两个目标之间的权衡。我们进一步介绍了SensorSafe的设计和架构,这是一个允许感知隐私的感官信息共享的框架。
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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