Enabling Reputation-Based Trust in Privacy-Enhanced Learning Systems

Abstract

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.