[hal-05233364] A Multi-Device Framework For Continuous Authentication

<div><p>The objective of this work-in-progress paper is to present a theoretical framework for a multi-device, multi-modal Continuous Authentication (CA) system that combines behavior biometric data from smartphones, tablets, and laptops. Six different attack scenarios are identified as test benchmarks. We describe the architectural components of the proposed system, including data capture, preprocessing, machine learning-based analysis, and decision fusion. While the paper introduces and describes unimodal, multimodal, and multi-device CA approaches, the primary focus is on outlining a multi-device CA methodology and its potential for real-time threat detection and dynamic security response.</p></div>