Insta-Pok3r: Real-time Poker on Blockchain

ePrint Report: Insta-Pok3r: Real-time Poker on Blockchain

Sanjam Garg, Aniket Kate, Pratyay Mukherjee, Rohit Sinha, Sriram Sridhar

We develop a distributed service for generating correlated randomness (e.g. permutations) for multiple parties, where each party’s output is private but publicly verifiable. This service provides users with a low-cost way to play online poker in real-time, without a trusted party.
Our service is backed by a committee of compute providers, who run a multi-party computation (MPC) protocol to produce an (identity-based) encrypted …

blockchain cost distributed eprint report low parties party play poker private randomness real report rohit service