How to Use Bitcoin to Play Decentralized Poker

By Ranjit Kumaresan, Tal Moran, Iddo Bentov. 2015

131 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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Citations in the corpus

Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2018, neutral): “Poker is a common benchmark application for blockchain systems and secure multi-party computation called mental poker [11], [43], [42], [6].”
Fairness in an Unfair World: Fair Multiparty Computation from Public Bulletin Boards (2017, background): “Recently, with the popularity of decentralized cryptocurrencies such as Bitcoin, a sequence of works [6, 17, 52, 53] have shown how to implement a fairness-with-penalties model for MPC where adversarial parties who prematurely abort are forced to pay financial fines.”
SoK: Privacy on Mobile Devices – It’s Complicated (2016, background): “One suggestion may be to leverage the Bitcoin crypto currency to enforce such punishments without relying on any centralized trusted party as in the work on fair exchange [184].”
: Privacy on Mobile Devices – It ’ s Complicated (2016, background): “One suggestion may be to leverage the Bitcoin crypto currency to enforce such punishments without relying on any centralized trusted party as in the work on fair exchange [184].”
Ouroboros Genesis: Composable Proof-of-Stake Blockchains with Dynamic Availability (2018, background): “, card games like poker—without the need of a trusted third party [15, 29]; or how to use blockchains as bulletin boards in electronic voting [30].”
Instantaneous Decentralized Poker (2017, methodology): “…[30] showed a Bitcoin based amortization scheme in which the parties run an initial setup phase requiring interaction with the cryptocurrency network, but thereafter they engage in many fair secure computation executions, communicating only among themselves for as long as all parties are honest.”
TumbleBit: An Untrusted Bitcoin-Compatible Anonymous Payment Hub (2017, methodology): “We follow prior works that use Bitcoin for fair exchange [4], [24], [25] and treat the blockchain as a trusted public ledger.”
Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies (2016, background): “Other use cases include coin tosses [238], lotteries [239], or decentralized poker [240], This works without a central entity and without the need to trust each other, that is, secure multi-party computations (MPC).”
Amortizing Secure Computation with Penalties (2016, methodology): “While the original works [18, 17] depended on e-cash systems, recent works [4, 2, 6, 14, 1, 15, 12] have shown how to use a decentralized digital cur-Permission rency (like Bitcoin) to design protocols for secure computation in the penalty model.”
Redactable Blockchain – or – Rewriting History in Bitcoin and Friends (2017, background): “, to achieve fairness in secure multi-party computation [7], [5], to build smart contracts [12], to distributed cryptography [4], and more [35], [33], [46].”