隐私敏感的服务选择方法

发布时间：2018-05-09 04:28

本文选题：服务选择 + 隐私敏感　；参考：《小型微型计算机系统》2017年12期

【摘要】：用户在使用互联网服务时,服务提供者可能要求用户提供一些必要的个人数据,因此给用户的隐私安全带来隐患.以往的服务选择研究大多关注服务的质量或信誉,对服务引起的隐私代价很少考虑,因此可能无法满足用户的需要.本文提出了一种隐私敏感的服务选择方法,旨在为用户选择隐私代价最低的服务,以降低用户暴露隐私所产生的风险.该方法考虑了服务信誉对用户隐私敏感度的影响,允许服务提供者和用户定义柔性的隐私需求和隐私偏好,使用模糊逻辑结合服务信誉、隐私需求和用户隐私偏好来计算用户的隐私代价,最后按隐私代价高低对候选服务进行排序.文中使用一个例子阐述了方法的可行性,并且用实验评估了方法的有效性.
[Abstract]:When users use Internet services, service providers may require users to provide some necessary personal data, which brings a hidden danger to the privacy of users. Previous researches on service selection mostly focus on the quality or reputation of services, and seldom consider the privacy costs of services, so they may not be able to meet the needs of users. In this paper, a Privacy sensitive Service selection method is proposed to select the least expensive service for users to reduce the risk of privacy exposure. This method takes into account the influence of service reputation on user privacy sensitivity, and allows service providers and users to define flexible privacy requirements and privacy preferences, and uses fuzzy logic to combine service reputation. Privacy requirements and user privacy preferences are used to calculate the user's privacy costs, and finally, the candidate services are sorted according to the privacy costs. An example is used to illustrate the feasibility of the method, and the effectiveness of the method is evaluated experimentally.
【作者单位】：湖南科技大学计算机科学与工程学院;
【基金】：国家自然科学基金项目(61572186,61300129,61572187)资助湖南省高校创新平台开放基金项目(15K043)资助湖南省研究生科研创新项目(CX2016B605,CX2016B574)资助
【分类号】：TP309

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