Distributed Random Process for a Large-Scale Peer-to-Peer Lottery

Stéphane Grumbach (1) , Robert Riemann (1)

1 DATASPHERE - Dynamique du pouvoir dans l'anthropocene

Most online lotteries today fail to ensure the verifiability of the random process and rely on a trusted third party. This issue has received little attention since the emergence of distributed protocols like Bitcoin that demonstrated the potential of protocols with no trusted third party. We argue that the security requirements of online lotteries are similar to those of online voting, and propose a novel distributed online lottery protocol that applies techniques developed for voting applications to an existing lottery protocol. As a result, the protocol is scalable, provides efficient verification of the random process and does not rely on a trusted third party nor on assumptions of bounded computational resources. An early prototype confirms the feasibility of our approach.

Mots clés: Distributed aggregation; Online lottery; DHT; Trust; Scalability

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Cryptographie et sécurité [cs.CR]

Stéphane Grumbach, Robert Riemann. Distributed Random Process for a Large-Scale Peer-to-Peer Lottery. 17th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2017, Neuchâtel, Switzerland. pp.34-48, ⟨10.1007/978-3-319-59665-5_3⟩. ⟨hal-01583824⟩