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Research on the User Privacy Protection Method in Mobile Commerce

机译:移动商务中用户隐私保护方法的研究

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The wide application of mobile commerce has brought great convenience to people's work and lives, however, the risk of privacy disclosure has been receiving more and more attention from the academia and industry. In this paper, after analyzing the privacy concerns in mobile commerce, the commonly used privacy preserving technologies in mobile environments are discussed. A privacy preserving operation model for the mobile commerce alliance providing location-based services is established. Aiming at preventing the sensitive homogeneity attack, an anonymity model for sensitive information is defined formally. Based on the anonymity model, a new cloaking algorithm named as EMDASS is described in detail, whose basic idea is exchanging and merging users. This algorithm can be used to protect the mobile user's location, identifier and other sensitive information on road networks. Finally, the availability of the privacy preserving algorithm proposed is illustrated by an example.
机译:移动商务的广泛应用为人们的工作和生活带来了极大的便利,然而,隐私披露的风险已引起了学术界和业界的越来越多的关注。本文在分析了移动商务中的隐私问题之后,讨论了移动环境中常用的隐私保护技术。建立了提供基于位置服务的移动商务联盟的隐私保护运营模型。为了防止敏感同质性攻击,正式定义了敏感信息的匿名模型。在匿名模型的基础上,详细描述了一种新的名为EMDASS的隐匿算法,其基本思想是交换和合并用户。该算法可用于保护道路网络上移动用户的位置,标识符和其他敏感信息。最后,通过实例说明了所提出的隐私保护算法的可用性。

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