Adaptive Biometric Systems: Challenges and Opportunities

Petreska, Anita and Ristevski, Blagoj and Dimitriovski, Ivica and Nikolovski, Saso and Slavkovska, Daniela (2024) Adaptive Biometric Systems: Challenges and Opportunities. In: XIV International Conference on Applied Internet and Information Technologies AIIT 2024, November, 2024, Zrenjanin.

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Abstract

Adaptive biometric systems represent a significant advancement in authentication technologies, designed to dynamically update biometric templates to maintain high accuracy and security over time. This paper examines the key strategies for adapting these systems, focusing on their ability to evolve as users’ biometric data changes due to factors like aging, environmental shifts, or behavioural variations. Central to this process are adaptation mechanisms, such as additive and replacement techniques, which continuously update biometric templates to reflect new data while maintaining the integrity of the system. Key
criteria for adaptation include oracle-based methods, request acceptance, and dual thresholds, which help determine when and how the system should adapt. Adaptation modes, whether supervised or semi-supervised, guide how templates are updated based on labelled or unlabelled data. Both offline (delayed) and online (real-time) adaptation methods offer distinct advantages, depending on system requirements. Despite their benefits, adaptive biometric systems face significant challenges, particularly in large-scale applications, data acquisition, and security risks such as poisoning attacks. Addressing these challenges, including the development of secure, scalable, and resource-efficient solutions, is crucial for the widespread adoption of adaptive biometric systems, especially in mobile and commercial contexts.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Blagoj Ristevski
Date Deposited:	12 Dec 2024 11:34
Last Modified:	12 Dec 2024 11:34
URI:	https://eprints.uklo.edu.mk/id/eprint/10535

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