Authentication of Smartphone Users Using Behavioral Biometrics
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Abstract (arXiv)
Smartphones and tablets have become ubiquitous in our daily lives. Smartphones, in particular, have become more than personal assistants. These devices have provided new avenues for consumers to play, work, and socialize whenever and wherever they want. Smartphones are small in size, so they are easy to handle and to stow and carry in users' pockets or purses. However, mobile devices are also susceptible to various problems. One of the greatest concerns is the possibility of breach in security and privacy if the device is seized by an outside party. It is possible that threats can come from friends as well as strangers. Due to the size of smart devices, they can be easily lost and may expose details of users' private lives. In addition, this might enable pervasive observation or imitation of one's movements and activities, such as sending messages to contacts, accessing private communication, shopping with a credit card, and relaying information about where one has been. This paper highlights the potential risks that occur when smartphones are stolen or seized, discusses the concept of continuous authentication, and analyzes current approaches and mechanisms of behavioral biometrics with respect to methodology, associated datasets and evaluation approaches.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Nov 2019.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
6 papers.
- 2022Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learningcited by 6
- 2021Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatchcited by 2
- 2022Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directionscited by 2
- 2021Security in Next Generation Mobile Payment Systems: A Comprehensive Surveycited by 0
- 2023Should they? Mobile Biometrics and Technopolicy meet Queer Community Considerationscited by 0
- 2026EyeMakeYou: Identity-, Task-, and Subjective-State-Conditioned Diffusion for High-Frequency Gaze Synthesiscited by 0
- 2026EyeMakeYou: Identity-, Task-, and Subjective-State-Conditioned Diffusion for High-Frequency Gaze Synthesis3 Sep 2026
- 2023Should they? Mobile Biometrics and Technopolicy meet Queer Community Considerations6 Oct 2023
- 2022Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions24 Oct 2022
- 2022Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning7 May 2022
- 2021Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch7 Oct 2021
- 2021Security in Next Generation Mobile Payment Systems: A Comprehensive Survey25 May 2021