BeeHIVE: Behavioral Biometric System based on Object Interactions in Smart Environments
Klaudia Krawiecka, Simon Birnbach, Simon Eberz, Ivan Martinovic

TL;DR
BeeHIVE is a behavioral biometric system that uses natural object interactions in smart environments for seamless user authentication, reducing reliance on phone-based methods and resisting mimicry attacks.
Contribution
This paper introduces a novel biometric authentication method based on object interactions in smart environments, eliminating the need for hardware modifications and enhancing security.
Findings
Provides high resistance to mimicry attacks
Achieves over 80% authentication without phone approval
Effective with multiple object interactions
Abstract
The lack of standard input interfaces in the 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, using this experiment to also study mimicry attacks on our proposed…
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Taxonomy
TopicsUser Authentication and Security Systems · Privacy, Security, and Data Protection · Deception detection and forensic psychology
