Name:
DatashareNetwork
Description:
Decentralized privacy-preserving search engine for investigative journalists
Professor — Lab:
Carmela TroncosoSecurity and Privacy Engineering Laboratory

Technical description:
Investigative journalists collect large numbers of digital documents during their investigations. These documents can greatly benefit other journalists’ work. However, many of these documents contain sensitive information. Hence, possessing such documents can endanger reporters, their stories, and their sources. Consequently, many documents are used only for single, local, investigations. DatashareNetwork is a decentralized and privacy-preserving search system that enables journalists world-wide to find documents via a dedicated network of peers.
Papers:
Project status:
inactive — entered showcase: 2021-11-04 — entry updated: 2023-03-22

Source code:
Lab GitHub - last commit: 2022-09-21
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Simulation
Programming language:
Python
License:
BSD-3-Clause