NDLI: Consistent privacy preferences (CPP): model, semantics, and properties

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Consistent privacy preferences (CPP): model, semantics, and properties

Content Provider	ACM Digital Library
Author	Bodorik, Peter Jutla, Dawn Wang, Mike Xuehai
Abstract	The Platform for Privacy Preferences (P3P) is a W3C specification that can be used to build useful protocols and services for protecting user privacy on the semantic Web. An outstanding issue is the need for a simple and efficient representation and management of consistent sets of rules for user privacy preferences. Thus we describe a model for privacy preference representation and management that has a number of desirable properties which are lacking in privacy preference models proposed thus far. We detail semantics and properties of matching preference rules with requests. We specify the properties of a consistent set of privacy preferences, and propose maintenance operations. Finally, we describe an implementation of our proposal that uses OWL (Web Ontology Language) and the Jena reasoning engine to illustrate the practicality of managing consistent user preferences in privacy rule-sets. An important advantage of our approach is that the user is encouraged to clarify privacy preferences as he/she modifies them as part of a back-end management task, as opposed to mainly at website interaction times.
Starting Page	2368
Ending Page	2375
Page Count	8
File Format	PDF
ISBN	9781595937537
DOI	10.1145/1363686.1364250
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-03-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Privacy preferences Consistency P3p agent User privacy control P3p Semantic web privacy Rule-set consistency
Content Type	Text
Resource Type	Article

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