Framework aimed at discovering, collecting, and analyzing privacy policies of smart devices using NLP and ML algorithms, to provide insights to users, policy authors, and regulators.
SmartSPEC is a smart space simulator and data generator that creates customizable smart space datasets using semantic models of spaces, people, events and sensors. We employ ML-based approaches to characterize and learn attributes of the embedded people and events in a sensorized space and apply an event-driven simulation strategy to generate realistic simulated data about the space (events, trajectories, sensor datasets, etc.).
The SmartSPEC architecture consists of two main components:
Semantic Web on smartphones
Protecting individuals' privacy from eyewear technology
Semantic tool to help create Wikipedia Infoboxes
Multi-CAMera Broadcasting Assistant
Facilitating the development of applications in IoT spaces
System for Heterogeneous mobilE Requests by Leveraging Ontological and Contextual Knowledge
Testbed for IoT-based Privacy-Preserving PERvasive Spaces