Entropy Based Personal Privacy Measurement in Ubiquitous Computing

Tinghuai Ma, J. Cao, Ankhbayar Otgonbayar
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引用次数: 1

Abstract

This paper designs a scheme, which can quantize the personal privacy based on profile and context, using entropy. It aims to configure the person's privacy in numerical form that can be dynamically adjusted instead of using the traditional simple rule engine. In addition, we design the scenario to design a adjust algorithm to modify the privacy based on numerical values.
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泛在计算中基于熵的个人隐私度量
本文设计了一种基于个人轮廓和上下文,利用熵对个人隐私进行量化的方案。它旨在将人的隐私配置为可动态调整的数字形式,而不是使用传统的简单规则引擎。此外,我们还设计了一个场景,设计了一个基于数值修改隐私的调整算法。
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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