AnonRep: Towards Tracking-Resistant Anonymous Reputation

Ennan Zhai, David Isaac Wolinsky, Ruichuan Chen, Ewa Syta, Chao Teng, and Bryan Ford

13th USENIX Symposium on Networked Systems Design and Implementation (NSDI)
Santa Clara, CA, March 2016


Reputation systems help users evaluate information quality and incentivize civilized behavior, often by tallying feedback from other users such as “likes” or votes and linking these scores to a user’s long-term identity. This identity linkage enables user tracking, however, and appears at odds with strong privacy or anonymity. This paper presents AnonRep, a practical anonymous reputation system offering the benefits of reputation without enabling long-term tracking. AnonRep users anonymously post messages, which they can verifiably tag with their reputation scores without leaking sensitive information. AnonRep reliably tallies other users’ feedback (e.g., likes or votes) without revealing the user’s identity or exact score to anyone, while maintaining security against score tampering or duplicate feedback. A working prototype demonstrates that AnonRep scales linearly with the number of participating users. Experiments show that the latency for a user to generate anonymous feedback is less than ten seconds in a 10,000-user anonymity group.

Paper: PDF

Slides: PDF

This research was supported in part by the NSF under grants CNS-1149936, CNS- 1409599, and CNS-1407454.