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LABBA: Autenticación biométrica conductual asistida por LLM

arXiv:2611.08343v1 Tipo de anuncio: nuevo Resumen: La biometría conductual ha surgido como un complemento prometedor a la biometría fisiológica tradicional al aprovechar las características humanas dinámicas. Estas modalidades ofrecen Adv

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arXiv:2611.08343v1 Announce Type: new Abstract: Behavioral biometrics have emerged as a promising complement to traditional physiological biometrics by leveraging dynamic human characteristics. These modalities offer advantages including continuous authentication, inherent liveness detection, and greater resistance to credential theft and other spoofing attacks. However, existing systems remain limited in adaptability, contextual awareness, and semantic reasoning as they primarily rely on similarity metrics, static thresholds, or supervised classifiers. As a result, they often struggle with real-world conditions such as behavioral variability, environmental changes, contextual changes, and adversarial manipulations. To address these limitations, we systematically integrate LLM-based contextual reasoning into behavioral biometric authentication. LLMs provide capabilities in contextual inference, sequential reasoning, multimodal understanding,

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