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Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey

Title
Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey
Authors
Abuhamad, MohammedAbusnaina, AhmedNyang, DaehunMohaisen, David
Ewha Authors
양대헌
SCOPUS Author ID
양대헌scopus
Issue Date
2021
Journal Title
IEEE INTERNET OF THINGS JOURNAL
ISSN
2327-4662JCR Link
Citation
IEEE INTERNET OF THINGS JOURNAL vol. 8, no. 1, pp. 65 - 84
Keywords
AuthenticationBiometrics (access control)SensorsPhysiologyKnowledge based systemsSmart phonesContinuous authenticationmobile sensingsensor-based authenticationsmartphone authentication
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Mobile devices and technologies have become increasingly popular, offering comparable storage and computational capabilities to desktop computers allowing users to store and interact with sensitive and private information. The security and protection of such personal information are becoming more and more important since mobile devices are vulnerable to unauthorized access or theft. User authentication is a task of paramount importance that grants access to legitimate users at the point of entry and continuously through the usage session. This task is made possible with today's smartphones' embedded sensors that enable continuous and implicit user authentication by capturing behavioral biometrics and traits. In this article, we survey more than 140 recent behavioral biometric-based approaches for continuous user authentication, including motion-based methods (28 studies), gait-based methods (19 studies), keystroke dynamics-based methods (20 studies), touch gesture-based methods (29 studies), voice-based methods (16 studies), and multimodal-based methods (34 studies). The survey provides an overview of the current state-of-the-art approaches for continuous user authentication using behavioral biometrics captured by smartphones' embedded sensors, including insights and open challenges for adoption, usability, and performance.
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DOI
10.1109/JIOT.2020.3020076
Appears in Collections:
ETC > ETC
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