BizGuardian Connect: Privacy-Preserving Data Aggregation for Government and Business
Research Project, 2023 – 2025

BizGuardian Connect aims to develop cutting-edge software prioritizing data privacy in all processing stages. It seeks to revolutionize data sharing with a focus on confidentiality. Utilizing cloud data protection through encryption and robust security measures, it shields sensitive information during input usage and aggregations. Emphasizing output privacy, the system introduces calibrated noise to computed results, preventing reverse engineering. The project ensures secure sharing, aggregation, and analysis of sensitive data, maintaining end-to-end privacy.


The project will build a robust data aggregation and sharing platform with verifiable privacy guarantees. Our objective is to prevent data leakages, and reconstruction/inference attacks, ensuring that privacy remains intact throughout the data-sharing process. This comprehensive privacy protection framework will ensure end-to-end data confidentiality throughout the entire data processing cycle: Input / Output privacy. Data will be securely transmitted, stored and processed in the computation environment, results of the aggregations will be extracted preserving privacy

Participants

David Sands (contact)

Chalmers, Computer Science and Engineering (Chalmers)

Collaborations

DPella AB

Göteborg, Sweden

Pulsen Omsorg AB

Borås, Sweden

Funding

VINNOVA

Project ID: 2023-02992
Funding Chalmers participation during 2023–2025

More information

Latest update

2/26/2026