BeeHIVE: Behavioral Biometric System Based on Object Interactions in Smart Environments

Klaudia Krawiecka, Simon Birnbach, Simon Eberz, Ivan Martinovic

Abstract: The lack of standard input interfaces in Internet of Things (IoT) ecosystems presents a challenge in securing such infrastructures. To tackle this challenge, we introduce a novel behavioral biometric system based on naturally occurring interactions with objects in smart environments. This biometric leverages existing sensors to authenticate users without requiring any hardware modifications of existing smart home devices. The system is designed to reduce the need for phone-based authentication mechanisms, on which smart home systems currently rely. It requires the user to approve transactions on their phone only when the user cannot be authenticated with high confidence through their interactions with the smart environment. We conduct a real-world experiment that involves 13 participants in a company environment. We show that this system can provide seamless and unobtrusive authentication while still remaining highly resistant to zero-effort, video, and in-person observation-based mi