This paper examines how service providers may resolve the trade-off between their personalization efforts and users' individual privacy concerns. We analyze how negotiation techniques can lead to efficient contracts and how they can be integrated into existing technologies to overcome the shortcomings of static privacy policies. The analysis includes the identification of relevant and negotiable privacy dimensions for different usage domains. Negotiations in multi-channel retailing are examined as a detailed example. Based on a formalization of the user's privacy revelation problem, we model the negotiation process as a Bayesian game where the service provider faces different types of users. Finally an extension to P3P is proposed that allows a simple expression and implementation of negotiation processes. Support for this extension has been integrated in the Mozilla browser. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Preibusch, S. (2006). Implementing privacy negotiations in E-commerce. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3841 LNCS, pp. 604–615). https://doi.org/10.1007/11610113_53
Mendeley helps you to discover research relevant for your work.