TIPPERS is a system that manages IoT smart spaces by collecting sensor data, inferring semantically meaningful information from it, and offering such inferences to developers to create smart applications. Sensor data collection, processing, and sharing leads to potential violations of people’s privacy given the sensitivity of the data and the inferences that can be extracted from it. TIPPERS integrates different Privacy Enhancing Technologies (e.g., policy-based access control, differential privacy, secure computing, etc.) to deal with privacy issues in IoT data management.
- Designing privacy preserving data sharing middleware for internet of things
- Towards Privacy-Aware Smart Buildings: Capturing, Communicating, and Enforcing Privacy Policies and Preferences
- SemIoTic: Bridging the Semantic Gap in IoT Spaces
- Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems