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.

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Primal Pappachan
Primal Pappachan
PhD candidate in Computer Science

My research interests include data management, privacy, and Internet of Things.