A Method for Classifying Users based on Their Capacitive Touchscreen Usage Characteristics 


Vol. 14,  No. 12, pp. 1037-1043, Dec.  2025
10.3745/TKIPS.2025.14.12.1037


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  Abstract

Modern computing environments are evolving from personal devices such as traditional PCs and smartphones to devices used by a broad, unspecified user base such as Internet-of-Things and embedded devices. These devices employ touchscreens and touchpads to interact with users and simultaneously display information. Because they are used by many different people and often have limited resources, such devices typically rely only on simple authentication methods like passwords or PINs. However, such simple methods not only fail to meet the security requirements of modern Internet environments but also serve as an attack surface. This study demonstrates that users can be classified by the physical characteristics of touchscreens and by users’ behavioral traits, and proposes a secondary authentication method that performs dynamic user authentication based on that classification.

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[IEEE Style]

H. Lim and S. Lee, "A Method for Classifying Users based on Their Capacitive Touchscreen Usage Characteristics," The Transactions of the Korea Information Processing Society, vol. 14, no. 12, pp. 1037-1043, 2025. DOI: 10.3745/TKIPS.2025.14.12.1037.

[ACM Style]

Hohyeon Lim and Seyoung Lee. 2025. A Method for Classifying Users based on Their Capacitive Touchscreen Usage Characteristics. The Transactions of the Korea Information Processing Society, 14, 12, (2025), 1037-1043. DOI: 10.3745/TKIPS.2025.14.12.1037.

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