BizGuardian Connect: Privacy-Preserving Data Aggregation for Government and Business

Purpose and goal:

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. Expected results and effects:

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 Approach and implementation:

WP1: Design of a Standardized Differential Privacy Service API (TRL 4). Develop a comprehensive and user-friendly open-source Differential Privacy (DP) API for privacy-preserving services

WP 2: Accuracy for Data-Dependent Analytics (TRL 4) Activities to advance DPella’s software engine for privacy-preserving analytics.

WP3: Strongly Typed SQL-like Language for DP Queries (TRL 4) Explore the utilization of generic programming techniques to represent datasets WP4: Integration with Pulsen Omsorg Environment (TRL 5) WP5: Demonstration of Public Sector Case Studies (TRL 6)