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Using tap sequences to authenticate drivers

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AutomotiveUI '13: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 228 - 231

https://doi.org/10.1145/2516540.2516567

Published: 28 October 2013 Publication History

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Abstract

Most vehicles only require a key to authenticate the driver. However, with vehicles becoming portals to digital information, many drivers might find this authentication method inadequate. In this paper we explore using tap sequences on the back of the steering wheel to authenticate drivers. Our results indicate that drivers can learn to use an authentication system that uses such taps, and that the system could provide good protection from shoulder-surfing attacks.

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Cited By

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Oudina ZDerdour MBouhamed M(2024)Improving Resource Security by Integrating Authentication and Cryptography2024 1st International Conference on Electrical, Computer, Telecommunication and Energy Technologies (ECTE-Tech)10.1109/ECTE-Tech62477.2024.10851191(1-8)Online publication date: 17-Dec-2024
https://doi.org/10.1109/ECTE-Tech62477.2024.10851191
Gelli TMandala RGouri CSubba Rao SAjitha D(2024)Intelligent One Step Authentication Using Machine Learning Model for Secure Interaction with Electronic DevicesSoft Computing and Signal Processing10.1007/978-981-99-8451-0_44(515-525)Online publication date: 17-Feb-2024
https://doi.org/10.1007/978-981-99-8451-0_44
Papathanasaki MMaglaras LAyres N(2022)Modern Authentication Methods: A Comprehensive SurveyAI, Computer Science and Robotics Technology10.5772/acrt.082022(1-24)Online publication date: 1-Jun-2022
https://doi.org/10.5772/acrt.08
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Index Terms

Using tap sequences to authenticate drivers
1. Human-centered computing

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Published In

AutomotiveUI '13: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

October 2013

281 pages

ISBN:9781450324786

DOI:10.1145/2516540

Conference Chair:
Jacques Terken
Eindhoven University of Technology, Eindhoven, The Netherlands
,
Program Chairs:
Marieke Martens
TNO / Universiteit Twente, Twente, The Netherlands
,
Christian Müller
DFKI, Saarbrücken, Germany
,
Jennifer Healey
INTEL Labs, Santa Clara, USA
,
Publications Chair:
Sebastian Osswald
Technische Universität München, TUM CREATE, Singapore

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 the author(s) 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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2013

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U.S. Department of Justice

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AutomotiveUI '13

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Eindhoven University of Technology Department of Industrial Design

AutomotiveUI '13: Automotive User Interfaces and Interactive Vehicular Applications

October 28 - 30, 2013

Eindhoven, Netherlands

Acceptance Rates

AutomotiveUI '13 Paper Acceptance Rate 41 of 67 submissions, 61%;

Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

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Oudina ZDerdour MBouhamed M(2024)Improving Resource Security by Integrating Authentication and Cryptography2024 1st International Conference on Electrical, Computer, Telecommunication and Energy Technologies (ECTE-Tech)10.1109/ECTE-Tech62477.2024.10851191(1-8)Online publication date: 17-Dec-2024
https://doi.org/10.1109/ECTE-Tech62477.2024.10851191
Gelli TMandala RGouri CSubba Rao SAjitha D(2024)Intelligent One Step Authentication Using Machine Learning Model for Secure Interaction with Electronic DevicesSoft Computing and Signal Processing10.1007/978-981-99-8451-0_44(515-525)Online publication date: 17-Feb-2024
https://doi.org/10.1007/978-981-99-8451-0_44
Papathanasaki MMaglaras LAyres N(2022)Modern Authentication Methods: A Comprehensive SurveyAI, Computer Science and Robotics Technology10.5772/acrt.082022(1-24)Online publication date: 1-Jun-2022
https://doi.org/10.5772/acrt.08
Hassan WRaza AAbdullah MHashem MJeon S(2022)HapWheel: Bringing In-Car Controls to Driver’s Fingertips by Embedding Ubiquitous Haptic Displays into a Steering WheelIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.316049623:10(18526-18534)Online publication date: Oct-2022
https://doi.org/10.1109/TITS.2022.3160496
Edwards JAparicio-Navarro FMaglaras LDouligeris C(2022)FFDA: A novel Four-Factor Distributed Authentication mechanism2022 IEEE International Conference on Cyber Security and Resilience (CSR)10.1109/CSR54599.2022.9850279(376-381)Online publication date: 27-Jul-2022
https://doi.org/10.1109/CSR54599.2022.9850279
Grabatin MSteinke MPöhn DHommel WGupta MAbdelsalam MMittal S(2021)A Matrix for Systematic Selection of Authentication Mechanisms in Challenging Healthcare related EnvironmentsProceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems10.1145/3445969.3450424(88-97)Online publication date: 28-Apr-2021
https://dl.acm.org/doi/10.1145/3445969.3450424
Detjen HFaltaous SPfleging BGeisler SSchneegass S(2021)How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2020.186051737:4(308-330)Online publication date: 1-Jan-2021
https://doi.org/10.1080/10447318.2020.1860517
Ali AAshby LWebb AZwitser RCesar PJanssen CDonker SChuang LJu W(2019)Uncovering perceived identification accuracy of in-vehicle biometric sensingProceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings10.1145/3349263.3351506(327-334)Online publication date: 21-Sep-2019
https://dl.acm.org/doi/10.1145/3349263.3351506
Ometov ABezzateev SMäkitalo NAndreev SMikkonen TKoucheryavy Y(2018)Multi-Factor Authentication: A SurveyCryptography10.3390/cryptography20100012:1(1)Online publication date: 5-Jan-2018
https://doi.org/10.3390/cryptography2010001
Corbett CAlexis JWatkins L(2018)Who's driving you?2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC.2018.8319199(1-4)Online publication date: Jan-2018
https://doi.org/10.1109/CCNC.2018.8319199
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Recommendations

Authenticating Drivers Using Automotive Batteries

Information fusion for robust 'context and driver aware' active vehicle safety systems

Biometric driver authentication based on 3D face recognition for telematics applications

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