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Gesture and Sociability-based Continuous Authentication on Smart Mobile Devices

Authors:

Zachary I. Rauen,

Fazel Anjomshoa,

Burak KantarciAuthors Info & Claims

MobiWac'18: Proceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access

Pages 51 - 58

https://doi.org/10.1145/3265863.3265873

Published: 25 October 2018 Publication History

Abstract

In this paper, we propose a new continuous verification platform on smart mobile devices. To this end, we integrate gesture-based features with interaction with social networking apps to verify user identities without minimum requirement for a password, pin code or biometric means. The continuous verification subsystem of this work proposes a novel two-step system for verification of users. The subsystem works by having two accurate models working as a primary and backup; when the primary fails the backup takes over to confirm or deny the conclusion of the primary model. The false acceptance rate (FAR) and false rejection rate (FRR) achieved under the proposed two-step system are shown to be 2.54% and 1.98% respectively, compared to the FAR and FRR of single-step verification, which achieved 3.15% and 9.13% respectively. Furthermore, the proposed system also improves the stability of continuous verification. In this work we show that the single step systems are inconsistent when analyzing small feature sets or slightly varied datasets. During both of these instances, the proposed system stays consistent, maintaining a high verification rate.

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Cited By

Ayeswarya SSingh K(2024)A Comprehensive Review on Secure Biometric-Based Continuous Authentication and User ProfilingIEEE Access10.1109/ACCESS.2024.341178312(82996-83021)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3411783
Mainetti LPanarese PVergallo R(2022)WoX+: A Meta-Model-Driven Approach to Mine User Habits and Provide Continuous Authentication in the Smart CitySensors10.3390/s2218698022:18(6980)Online publication date: 15-Sep-2022
https://doi.org/10.3390/s22186980
Liu JSimsek MKantarci BErol-kantarci MMalton AWalenstein A(2022)Risk-aware Fine-grained Access Control in Cyber-physical ContextsDigital Threats: Research and Practice10.1145/34804683:4(1-29)Online publication date: 5-Dec-2022
https://dl.acm.org/doi/10.1145/3480468
Show More Cited By

Index Terms

Gesture and Sociability-based Continuous Authentication on Smart Mobile Devices

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cover image ACM Conferences

MobiWac'18: Proceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access

October 2018

140 pages

ISBN:9781450359627

DOI:10.1145/3265863

General Chair:
Wessam Ajib
University of Quebec de Montreal, Canada
,
Program Chairs:
Rodolfo W. L. Coutinho
University of Ottawa, Canada
,
Frank Li
University of Agder, Norway

Copyright © 2018 ACM.

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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New York, NY, United States

Publication History

Published: 25 October 2018

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Cited By

Ayeswarya SSingh K(2024)A Comprehensive Review on Secure Biometric-Based Continuous Authentication and User ProfilingIEEE Access10.1109/ACCESS.2024.341178312(82996-83021)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3411783
Mainetti LPanarese PVergallo R(2022)WoX+: A Meta-Model-Driven Approach to Mine User Habits and Provide Continuous Authentication in the Smart CitySensors10.3390/s2218698022:18(6980)Online publication date: 15-Sep-2022
https://doi.org/10.3390/s22186980
Liu JSimsek MKantarci BErol-kantarci MMalton AWalenstein A(2022)Risk-aware Fine-grained Access Control in Cyber-physical ContextsDigital Threats: Research and Practice10.1145/34804683:4(1-29)Online publication date: 5-Dec-2022
https://dl.acm.org/doi/10.1145/3480468
Solano JRivera ETengana LLópez CFlórez JOchoa M(2022)A Siamese Neural Network for Scalable Behavioral Biometrics AuthenticationApplied Cryptography and Network Security Workshops10.1007/978-3-031-16815-4_28(515-535)Online publication date: 24-Sep-2022
https://doi.org/10.1007/978-3-031-16815-4_28
Baig AEskeland S(2021)Security, Privacy, and Usability in Continuous Authentication: A SurveySensors10.3390/s2117596721:17(5967)Online publication date: 6-Sep-2021
https://doi.org/10.3390/s21175967
Reichinger DSonnleitner EKurz M(2021)Continuous Mobile User Authentication Using Combined Biometric TraitsApplied Sciences10.3390/app11241175611:24(11756)Online publication date: 10-Dec-2021
https://doi.org/10.3390/app112411756
Abuhamad MAbusnaina ANyang DMohaisen D(2021)Sensor-Based Continuous Authentication of Smartphones’ Users Using Behavioral Biometrics: A Contemporary SurveyIEEE Internet of Things Journal10.1109/JIOT.2020.30200768:1(65-84)Online publication date: 1-Jan-2021
https://doi.org/10.1109/JIOT.2020.3020076
Quintal KKantarci BErol-Kantarci MMalton AWalenstein A(2019)Contextual, Behavioral, and Biometric Signatures for Continuous AuthenticationIEEE Internet Computing10.1109/MIC.2019.294139123:5(18-28)Online publication date: 18-Dec-2019
https://dl.acm.org/doi/10.1109/MIC.2019.2941391
Quintal KKara ESimsek MKantarci BViktor H(undefined)Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms2019 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM38437.2019.9014288(1-6)
https://dl.acm.org/doi/10.1109/GLOBECOM38437.2019.9014288

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