Abstract
Online Social Networks form an increasingly important part of people's lives. As mobile technologies improve accessibility, concerns about privacy and trust are more apparent as advertising becomes a critical component of most social network's economic model. In this paper we describe the PICOS project's research into privacy preserving advertising options for social networks. We introduce an architecture that includes new concepts and technologies specifically designed to improve privacy and trust as well as advertising opportunities within social networks. © 2011 IFIP International Federation for Information Processing.
Author supplied keywords
Cite
CITATION STYLE
Kahl, C., Crane, S., Tschersich, M., & Rannenberg, K. (2011). Privacy respecting targeted advertising for social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6633 LNCS, pp. 361–370). https://doi.org/10.1007/978-3-642-21040-2_26
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
