This project develops a method to use various sensors in teleinteraction devices for user authentication and verifying the authenticity of surrounding information. It employs semantic analysis and modeling to understand environmental contexts and sensor data integrations. The approach incorporates advanced security technologies such as homomorphic encryption and zero-knowledge proofs to safeguard personal information. Additionally, it provides real-time detection of model tampering and personal data exposure, allowing users to maintain security thresholds.

This project focuses on enhancing the security of intelligent transportation systems by developing a novel, sensor-based authentication scheme for vehicle-to-everything communication within vehicular networks. Leveraging environmental sensor data like audio and temperature, our method aims to rapidly authenticate various mobile entities while mitigating risks from remote adversaries. The project includes testing the developed scheme against potential cyber-attacks and evaluating its compatibility with various hardware and software, to ensure robustness, practicality, and user acceptance. 

This project addresses the challenge of authenticating heterogeneous smart devices. A significant barrier to the adoption of zero-involvement authentication is the variation in sensing hardware across devices, which affects the consistency of measurements used for generating keys. The project aims to identify invariant properties of environmental contexts that can be reliably sensed across different sensor configurations. A comprehensive real-world study will be conducted to determine the most practical and user-friendly authentication contexts for diverse environments.