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  3. Stateless Distributed Randomness Generation Stateless Distributed Randomness Generation

Stateless Distributed Randomness Generation

The project conducts research on the feasibility of efficient protocols for generating unbiased randomness over blockchains in highly permissionless environments and where the number of online machines is very low.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

01.07.2023 - 30.06.2024

Overview

This project is an international collaboration with Elisaweta Masserova (Carnegie Mellon University), Sri AravindaKrishnan Thyagarajan (NTT Research and U. Sydney), Pratik Soni (U. Utah), João Ribeiro (NOVA LINCS & NOVA School of Science and Technology) and Mark Simkin (Ethereum Foundation).

The project investigates the feasibility of generating unbiased randomness over blockchains in the most challenging setting, where at any point in time all-but-one parties can become offline. The focus is on designing protocols that remain secure even if the online parties may only post a single message on the blockchain and go offline -- also known as the You-Only-Speak-Once model. This is in contrast to prior models that require a large set of parties that are online and correctly functioning at all times.

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Facts

Type of project

Forschung

Internal organisations involved
  • Computer Science and Information Technology
  • Blockchain Lab aF&E
Funding
  • Private / Stiftungen
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Persons involved: internal

Project manager
  • Chen-Da Liu Zhang

Publications

  • Article, review; peer reviewed (1)

    • Liu-Zhang, Chen-Da; Masserova, Elisaweta; Ribeiro, João; Soni, Pratik & Thyagarajan, Sri AravindaKrishnan (2024). Improved YOSO Randomness Generation with Worst-Case Corruptions. Financial Cryptography,

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

07/01/2023 - 06/30/2024

Project Head

Dr. Chen-Da Liu Zhang

Co-Head Information Systems Research Lab

+41 41 349 36 78

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