April 2022: Use Case Findings for improved oversight of human trafficking use case
Together with Roseman Labs and Pinsent Masons, the Sustainable Rescue Foundation is proud to present the final report of the Data Sharing Coalition with insights into the context and value of the MPC use case, as well as the design of the use case. Their conclusion is that this use case provides a foundation for an MPC-based data space to monitor sexual exploitation. Key findings:
- Legal and technical privacy measures, governance and education are essential
- Expanding data collaboration and reusing the design will bring more value from data collaboration
- Virtual Data Lake makes MPC technology accessible
Data Collaboration: Multi Party Computation Use Case
To combat human trafficking (http://ow.ly/Wzvn50H0Sus), it is essential that multi-party partnerships are established to collaborate and make use of each other’s data. However, due to the sensitive nature of the data, it is not possible to share it with various actors. Secure Multi Party Computation (MPC) enables data collaboration without the need to expose the source data.
Together with Sustainable Rescue, Roseman Labs and Pinsent Masons, NGOs and other participants, we are working on a use case to enable secure data sharing to improve the monitoring of human trafficking.
Today, we completed a first test with real-world data. Human trafficking involves human beings. Due to the sensitivity of the data involved, comparing lists of suspects’ and informants’ names by using traditional comparison methods is impossible. An additional layer of security is required, which only MPC can provide. By deploying MPC, we were able to compare the different lists without actually sharing the data. The MPC advantage is cryptographic protocol distribution between multiple parties where no individual party could see the other parties’ data. The comparison process took seconds, replacing the need for manual review.
We are looking forward to extending this project with additional partners. In the next phase, we will explore more data collaboration possibilities. Learn more about this use case:
Protection of identities and data privacy is key in organising digital collaboration to combat human trafficking
These data barriers result in partial and fragmented data that makes it difficult to piece together a robust understanding of the trafficking modus operandi in recruitment, transport and exploitation. A good example is interview information obtained by law enforcement agencies from victims of forced prostitution versus victim-centred stories obtained by NGOs from victims and sex workers. The goal for the participating NGOs, Roseman Labs, Sustainable Rescue Foundation and other participants is to develop a use case based on MPC technology, with additional trust and interoperability features, as a proof of concept to overcome these data sharing barriers.
This use case is sponsored by the Data Sharing Coalition. Click here to read the full article.