TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews
Abstract
Reviews and ratings by users form a central component in several widely used products today (e.g., product reviews, ratings of online content, etc.), but today's platforms for managing such reviews are ad-hoc and vulnerable to various forms of tampering and hijack by fake reviews either by bots or motivated paid workers. We define a new metric called 'hijack-resistance' for such review platforms, and then present TrustRate, an end-to-end decentralized, hijack-resistant platform for authentic, anonymous, tamper-proof reviews. With a prototype implementation and evaluation at the scale of thousands of nodes, we demonstrate the efficacy and performance of our platform, towards a new paradigm for building products based on trusted reviews by end users without having to trust a single organization that manages the reviews.
- Publication:
-
arXiv e-prints
- Pub Date:
- February 2024
- DOI:
- 10.48550/arXiv.2402.18386
- arXiv:
- arXiv:2402.18386
- Bibcode:
- 2024arXiv240218386D
- Keywords:
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- Computer Science - Cryptography and Security;
- Computer Science - Distributed;
- Parallel;
- and Cluster Computing
- E-Print:
- 23 pages. Poster at The 24th Privacy Enhancing Technologies Symposium, 2024, Bristol, United Kingdom