Privacy and trust are the cornerstones of safe and engaging learning environments. Trust is associated with the reputation of an actor. Pseudonymous identities can accrue trust while preserving the actor's privacy. But activities such as aggregating reputations from an actor's multiple pseudo-identities or transferring reputation to a new pseudonym pose problems with privacy preservation. In this vein, we propose privacy-preserving identity management systems for learners that support reputation aggregation and transfer across multiple pseudonyms. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Anwar, M., & Greer, J. (2008). Enabling reputation-based trust in privacy-enhanced learning systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5091 LNCS, pp. 681–683). Springer Verlag. https://doi.org/10.1007/978-3-540-69132-7_76
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