Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey
- 주제(키워드) Authentication , Biometrics (access control) , Sensors , Physiology , Knowledge based systems , Smart phones , Continuous authentication , mobile sensing , sensor-based authentication , smartphone authentication
- 주제(기타) Computer Science, Information Systems
- 주제(기타) Engineering, Electrical & Electronic
- 주제(기타) Telecommunications
- 설명문(일반) [Abuhamad, Mohammed] Loyola Univ Chicago, Dept Comp Sci, Chicago, IL 60660 USA; [Abusnaina, Ahmed; Mohaisen, David] Univ Cent Florida, Dept Comp Sci, Orlando, FL 32816 USA; [Nyang, Daehun] Ewha Womans Univ, Dept Cyber Secur, Seoul 03760, South Korea
- 관리정보기술 faculty
- 등재 SCIE, SCOPUS
- OA유형 Green Submitted
- 발행기관 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행년도 2021
- 세부유형 Article
- URI http://www.dcollection.net/handler/ewha/000000175387
- 본문언어 영어
- Published As http://dx.doi.org/10.1109/JIOT.2020.3020076
초록/요약
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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