TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews
CoRR(2024)
摘要
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.
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