A Server-side Approach to Privacy Policy Matching

Åsmund Ahlmann Nyre, K. Bernsmed, Solvar Bo, Stian Pedersen
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引用次数: 10

Abstract

With the increasing use of online services that require sharing of information there is a need for Privacy Enhancing Technology tailored for personal information control. Commonly, web privacy is handled through matching of privacy policies and user preferences using software agents on the client side. In this paper, we propose a new approach to privacy policy matching we denote server-side matching. By moving the matching logic from the client to the server, the client is alleviated from the resource consuming process of obtaining and matching policies and the service provider is able to adapt services to users' privacy preferences. We describe the architecture of a general solution and a prototype implementation of selected parts. The solution has only been subject to rudimentary testing, but our initial evaluation is promising.
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隐私策略匹配的服务器端方法
随着网上服务的使用越来越多,需要分享信息,因此需要为个人信息控制量身定制的隐私增强技术。通常,网络隐私是通过在客户端使用软件代理匹配隐私策略和用户偏好来处理的。本文提出了一种新的隐私策略匹配方法,即服务器端匹配。通过将匹配逻辑从客户端移动到服务器,客户端可以从获取和匹配策略的资源消耗过程中解脱出来,服务提供者可以根据用户的隐私偏好调整服务。我们描述了通用解决方案的体系结构和选定部分的原型实现。这个解决方案只经过了基本的测试,但我们的初步评估是有希望的。
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