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Query Profile Obfuscation by Means of Optimal Query Exchange between Users

机译:通过用户之间的最佳查询交换进行查询配置文件混淆

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摘要

We address the problem of query profile obfuscation by means of partial query exchanges between two users, in order for their profiles of interest to appear distorted to the information provider (database, search engine, etc.). We illustrate a methodology to reach mutual privacy gain, that is, a situation where both users increase their own privacy protection through collaboration in query exchange. To this end, our approach starts with a mathematical formulation, involving the modeling of the users' apparent profiles as probability distributions over categories of interest, and the measure of their privacy as the corresponding Shannon entropy. The question of which query categories to exchange translates into finding optimization variables representing exchange policies, for various optimization objectives based on those entropies, possibly under exchange traffic constraints.
机译:我们通过两个用户之间的部分查询交换来解决查询配置文件混淆的问题,以使他们感兴趣的配置文件对信息提供者(数据库,搜索引擎等)失真。我们举例说明了一种实现相互隐私获取的方法,即两种用户都通过查询交换中的协作来增加自己的隐私保护的情况。为此,我们的方法从数学公式入手,涉及到将用户的外观轮廓建模为感兴趣类别上的概率分布,并将其隐私度量作为相应的Shannon熵。交换哪些查询类别的问题可以转化为寻找表示交换策略的优化变量,这些优化变量可能基于在交换流量约束下基于这些熵的各种优化目标。

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