Citation

Ramalingam, Soodamani and Lovric, Dominic and Ooi, Shih Yin and Guest, Richard and Diaz, Moises and Garzia, Fabio and Lawunmi, David (2025) Explainable Ai(Xai) for Touch-Stroke Biometrics: Insights from Shap. In: International Carnahan Conference on Security Technology, 2025 ICCST, 14 October 2025 - 17 October 2025, San Antonio.

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Abstract

This paper presents an XAI-based framework for touch-stroke behavioural biometrics. Initially, a Random Forest classifier is trained to perform user classification, and feature importances are derived from the model's internal metrics. Subsequently, SHAP explanations are applied to obtain model-agnostic feature attributions, in both portrait and landscape modes. A comparison between the two approaches is then conducted to identify consistent patterns of feature relevance, informing the decision to exclude redundant or less influential features. The findings underscore the potential of integrating XAI into behavioural biometrics to enhance transparency and user trust.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	eXplainable AI (XAI), touch-stroke dynamics, biometrics, SHAP
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Mar 2026 08:01
Last Modified:	19 Mar 2026 00:52
URII:	http://shdl.mmu.edu.my/id/eprint/15570

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