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ZAIA

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Zero-interaction authentication (ZIA) refers to a form of user-transparentlogin mechanism using which a terminal (e.g., a desktop computer) can beunlocked by the mere proximity of an authentication token (e.g., a smartphone).Given its appealing usability, ZIA has already been deployed in many real-worldapplications. However, ZIA contains one major security weakness - unauthorizedphysical access to the token, e.g., during lunch-time or upon theft, allows theattacker to have unfettered access to the terminal.  In this paper, we address this gaping vulnerability with ZIA systems by(un)locking the authentication token with the user's walking pattern as sheapproaches the terminal to access it. Since a user's walking or gait pattern isbelieved to be unique, only that user (no imposter) would be able to unlock thetoken to gain access to the terminal in a ZIA session. While walking-basedbiometrics schemes have been studied in prior literature for other applicationsettings, our main novelty lies in the careful use of: (1) multiple sensorsavailable on the current breed of devices (e.g., accelerometer, gyroscope andmagnetometer), and (2) multiple devices carried by the user (in particular, an"in-pocket" smartphone and a "wrist-worn" smartwatch), that all capture uniquefacets of user's walking pattern. Our contributions are three-fold. First, weintroduce, design and implement WUZIA ("Walk-Unlock ZIA"), a multi-modalwalking biometrics approach tailored to enhance the security of ZIA systems(still with zero interaction). Second, we demonstrate that WUZIA offers a highdegree of detection accuracy, based on multi-sensor and multi-device fusion.Third, we show that WUZIA can resist active attacks that attempt to mimic auser's walking pattern, especially when multiple devices are used.

Walk-Unlock: Zero-Interaction Authentication Protected with Multi-Modal Gait Biometrics