This repository hosts information to UtiP-DAM as part of NGI TRUSTCHAIN project.
https://trustchain.ngi.eu/utip-dam/
Correlation Systems is developing UtiP-DAM with a core focus on customer needs in the context of privacy-compliant crowd data management. Our innovative solution addresses the challenges associated with adhering to strict local privacy laws when collecting, storing, and analyzing crowd-sourced data. Notably, UtiP-DAM will empower users, including its existing customers, to:
- Distribute data openly, securely and in compliance with data privacy laws: Through UtiP-DAM, dataset owners will be able to share anonymized data in open-source frameworks such as the International Data Space, and private frameworks such as the UtiP-DAM marketplace, fostering collaboration and innovation for mobility and location- based solutions.
- Unlock new revenue streams: the UtiP-DAM marketplace will enable the resell of anonymized data while protecting individual privacy, potentially generating additional income for Correlation Systems and dataset owners.
- General auditing tool: this tool analyzes a mobility data file (CSV format) and outputs the lowest K value within the data. This provides a quick assessment of the overall anonymization strength of the dataset.
- Detailed auditing tool: this tool delves deeper, providing a K value for each individual mobility sequence within the data. This granular analysis enables developers to pinpoint specific areas within the dataset that might require additional anonymization measures.
- K-anonymization tool: This tool addresses the core challenge of anonymizing mobility data. It replaces identifiers of mobility patterns below K using random IDs. This anonymization technique ensures that individual movements cannot be linked with another, while preserving valuable data insights for analysis.
UtiP-DAM enables users to share their datasets with Mobility Data Space (MDS)
Docker
cd utipdam-docker
docker-compose pull && docker-compose up -d- anonymize
curl -D headers.txt -X POST "http://localhost:8888/api/mobility/anonymize" --form file=@test.csv --form k=2- audit
curl -X POST "http://localhost:8888/api/mobility/audit" --form file=@test.csv --form k=2- device to visitor id
curl -X GET "http://localhost:8888/api/deviceToVisitorId?sensorId=3281&mac=4C:75:25:97:D1:FD"Feel free to reach out to us for more information https://ngi.cs.co.il/contact