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  3. Databarter- Secure and Fair P2P Data Marketplace Databarter- Secure and Fair P2P Data Marketplace

Databarter- Secure and Fair P2P Data Marketplace

The goal of this project is to combine cryptographic primitives and game theoretic concepts to construct a sustainable, decentralized and open platform for data trading. The outcomes is an academic publication and an engineered software realizing Databarter.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

01.05.2020 - 31.12.2020

Overview

Digital contents are typically sold online through centralized and custodian marketplaces, which requires the trading partners to trust a central entity. We aim to develop Databarter, a fair protocol which, assuming the cryptographic hash of the file of interest is known to the buyer, should be trust-free and lets a buyer purchase data for a previously agreed monetary amount, while guaranteeing the integrity of the contents. The goal of the project is to come up with a protocol that prevents misbehavior and that guarantees that any deviation from the expected participants' behavior results in a negative financial payoff; i.e. honest behavior must correspond to a subgame perfect Nash equilibrium. We aim to minimize the necessary protocol costs, i.e. if buyer and seller behave honestly, Databarter's execution should at most require four blockchain transactions. The actual data is exchanged must be privacy preserving and without writing the whole data to the blockchain. We ideally want databarter to enable flexible peer-to-peer setting where multiple parties can fairly sell a file to a buyer.

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Facts

Type of project

Forschung

Internal organisations involved
  • Computer Science and Information Technology
External project funder
  • Hasler Stiftung
Funding
  • Private / Stiftungen
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Persons involved: internal

Project manager
  • Luca Mazzola
Project Co-Head
  • Arthur Gervais
Member of project team
  • Alexander Denzler
  • Arthur Gervais
  • Christian Renold

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

05/01/2020 - 12/31/2020

Project Head

Dr. Luca Mazzola

Lecturer

+41 41 757 68 90

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