A Framework for Privacy-Aware User Data Trading

Data about users is rapidly growing, collected by various online applications and databases. The ability to share user data across applications can offer benefits to user in terms of personalized services, but at the same time poses privacy risks of disclosure of personal information. Hence, there is a need to ensure protection of user privacy while enabling user data sharing for desired personalized services. We propose a policy framework for user data sharing based on the purpose of adaptation. The framework is based on the idea of a market, where applications can offer and negotiate user data sharing with other applications according to an explicit user-editable and negotiable privacy policy that defines the purpose, type of data, retention period and price.

[1]  Carlo Strapparava,et al.  Adaptive Hypermedia and Adaptive Web-Based Systems, 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings , 2008, AH.

[2]  Cristina Conati,et al.  User Modeling 2007, 11th International Conference, UM 2007, Corfu, Greece, June 25-29, 2007, Proceedings , 2007, User Modeling.

[3]  Boris Brandherm,et al.  Decentralized User Modeling with UserML and GUMO , 2005 .

[4]  Alfred Kobsa,et al.  Generic User Modeling Systems , 2001, User modeling and user-adapted interaction.

[5]  Nicola Henze,et al.  Linkage, aggregation, alignment and enrichment of public user profiles with Mypes , 2010, I-SEMANTICS '10.

[6]  Yang Wang,et al.  Respecting Users' Individual Privacy Constraints in Web Personalization , 2007, User Modeling.

[7]  Mária Bieliková,et al.  Sharing user models for adaptive hypermedia applications , 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

[8]  Judy Kay,et al.  Personal lifelong user model clouds , 2009 .

[9]  Federica Cena,et al.  User model interoperability: a survey , 2011, User Modeling and User-Adapted Interaction.

[10]  Boris Brandherm,et al.  Gumo - The General User Model Ontology , 2005, User Modeling.

[11]  Alfred Kobsa,et al.  A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web , 2000, User Modeling and User-Adapted Interaction.

[12]  Fang Wang,et al.  Negotiating Exchanges of P3p‐Labeled Information for Compensation , 2004, Comput. Intell..

[13]  Judy Kay,et al.  Personis: A Server for User Models , 2002, AH.

[14]  Julita Vassileva,et al.  Multi-Agent Multi-User Modeling in I-Help , 2003, User Modeling and User-Adapted Interaction.

[15]  Paul Brna,et al.  User Modeling 2005, 10th International Conference, UM 2005, Edinburgh, Scotland, UK, July 24-29, 2005, Proceedings , 2005, User Modeling.

[16]  Tsvi Kuflik,et al.  Mediation of user models for enhanced personalization in recommender systems , 2007, User Modeling and User-Adapted Interaction.