Next2You: Robust Copresence Detection Based on Channel State Information

Context-based copresence detection schemes are a necessary prerequisite to building secure and usable authentication systems in the Internet of Things ( IoT ) . Such allow one device verify proximity another without user assistance utilizing their physical context (e.g., audio). The state-of-the-art suffer from two major limitations: (1) They cannot accurately detect low-entropy empty room with few events occurring) insufficiently separated environments adjacent rooms), (2) require devices have common sensors microphones) capture context, making them impractical on heterogeneous sensors. We address these limitations, proposing Next2You , novel scheme channel state information (CSI). In particular, we leverage magnitude phase values range subcarriers specifying Wi-Fi robust wireless created when communicate. implement off-the-shelf smartphones relying only ubiquitous chipsets evaluate it based over 95 hours CSI measurements that collect five real-world scenarios. achieves error rates below 4%, maintaining accurate both environments. also demonstrate capability work reliably real-time its robustness various attacks.