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Taprint: Secure Text Input for Commodity Smart Wristbands

Published: 05 August 2019 Publication History

Abstract

Smart wristband has become a dominant device in the wearable ecosystem, providing versatile functions such as fitness tracking, mobile payment, and transport ticketing. However, the small form-factor, low-profile hardware interfaces and computational resources limit their capabilities in security checking. Many wristband devices have recently witnessed alarming vulnerabilities, e.g., personal data leakage and payment fraud, due to the lack of authentication and access control. To fill this gap, we propose a secure text pin input system, namely Taprint, which extends a virtual number pad on the back of a user's hand. Taprint builds on the key observation that the hand "landmarks'', especially finger knuckles, bear unique vibration characteristics when being tapped by the user herself. It thus uses the tapping vibrometry as biometrics to authenticate the user, while distinguishing the tapping locations. Taprint reuses the inertial measurement unit in the wristband, "overclocks'' its sampling rate to extrapolate fine-grained features, and further refines the features to enhance the uniqueness and reliability. Extensive experiments on 128 users demonstrate that Taprint achieves a high accuracy (96%) of keystrokes recognition. It can authenticate users, even through a single-tap, at extremely low error rate (2.4%), and under various practical usage disturbances.

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  • (2024)HandPad: Make Your Hand an On-the-go Writing Pad via Human CapacitanceProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676328(1-16)Online publication date: 13-Oct-2024
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    cover image ACM Conferences
    MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking
    August 2019
    1017 pages
    ISBN:9781450361699
    DOI:10.1145/3300061
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 05 August 2019

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    Author Tags

    1. authentication
    2. secure input
    3. vibration recognition
    4. wearable devices

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    • (2024)HandPad: Make Your Hand an On-the-go Writing Pad via Human CapacitanceProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676328(1-16)Online publication date: 13-Oct-2024
    • (2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
    • (2024)ViObjectProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435478:1(1-26)Online publication date: 6-Mar-2024
    • (2024)CAvatarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314247:4(1-24)Online publication date: 12-Jan-2024
    • (2024)RadarHand: A Wrist-Worn Radar for On-Skin Touch-Based Proprioceptive GesturesACM Transactions on Computer-Human Interaction10.1145/361736531:2(1-36)Online publication date: 29-Jan-2024
    • (2024)Two-Factor Authentication for Keyless Entry System via Finger-Induced VibrationsIEEE Transactions on Mobile Computing10.1109/TMC.2024.336833123:10(9708-9720)Online publication date: Oct-2024
    • (2024)AcouWrite: Acoustic-Based Handwriting Recognition on SmartphonesIEEE Transactions on Mobile Computing10.1109/TMC.2024.335148423:8(8557-8568)Online publication date: Aug-2024
    • (2024)Combining IMU With Acoustics for Head Motion Tracking Leveraging Wireless EarphoneIEEE Transactions on Mobile Computing10.1109/TMC.2023.332582623:6(6835-6847)Online publication date: Jun-2024
    • (2024)Exploring Practical Acoustic Transduction Attacks on Inertial Sensors in MDOF SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2023.3277287(1-18)Online publication date: 2024
    • (2024)ThumbUp: Secure Smartwatch Controller for Smart Homes Using Simple Hand GesturesIEEE Transactions on Mobile Computing10.1109/TMC.2022.321692723:1(865-878)Online publication date: Jan-2024
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