Software Campus: AnKSeK – Anonymization Techniques for Automatic Calibration of Distributed Sensor Systems

AnKSeK develops privacy-preserving methods for the automatic calibration of distributed sensor networks. It ensures that calibration data does not compromise user or location privacy.

Develop anonymization algorithms for calibration in large IoT systems. Balance data utility and privacy in sensor networks. Integrate methods into existing TECO calibration frameworks.