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JAIT 2026 Vol.17(1): 34-41
doi: 10.12720/jait.17.1.34-41

Behavioral Authentication Model for Smartphone Users Based on Gyroscope and Accelerometer Data for Mobile Educational Resources

Vassiliy V. Serbin 1 and Aray M. Kassenkhan 2,*
1. Department of Cybersecurity, Information Processing and Storage, Institute of Automation and Information Technologies, Satbayev University, Almaty, Kazakhstan
2 Department of Software Engineering, Institute of Automation and Information Technologies, Satbayev University, Almaty, Kazakhstan
Email: v.serbin@satbayev.university (V.V.S.); a.kassenkhan@satbayev.university (A.M.K.)
*Corresponding author

Manuscript received April 29, 2025; revised June 12, 2025; accepted September 17, 2025; published January 8, 2026.

Abstract—With the continuous rise in the popularity of mobile devices and the growing volume of data related to education, the protection of users’ personal information is becoming increasingly important. This study presents a behavioral authentication model that can be effectively utilized to enhance security when accessing intelligent educational resources, based on the processing of gyroscope and accelerometer data. The paper reviews existing authentication methods, highlights the advantages of behavioral authentication, and proposes a new model. The behavioral authentication model analyzes users’ behavioral patterns to identify and protect user accounts. This approach is particularly crucial in the context of intelligent educational resources, where users frequently interact with various types of content that require the safeguarding of personal data and the preservation of the educational process’s integrity.
 
Keywords—smartphone, mobile application, behavioral authentication, gyroscope, accelerometer, security, education

Cite: Vassiliy V. Serbin and Aray M. Kassenkhan, "Behavioral Authentication Model for Smartphone Users Based on Gyroscope and Accelerometer Data for Mobile Educational Resources," Journal of Advances in Information Technology, Vol. 17, No. 1, pp. 34-41, 2026. doi: 10.12720/jait.17.1.34-41

Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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