A Server-side Approach to Privacy Policy Matching

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.