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Context-aware and adaptive multi-factor authentication model
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DOI：10.1016/j.jisa.2026.104508.png)
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Abstract
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In this paper we present a formal and extensible framework for a context-aware, and adaptive multi-factor authentication (CAA-MFA). CAA-MFA supports the selection of k-number of random factors based on the risk of the user’s login context. Each authentication factor in association with its source device has an associated trust score. We use these trust scores to evaluate individual factor’s feasibility for user authentication, and the collective feasibility of the k-number of factors. We use context-based reasoning (Protege) to derive the risk of the user login and therefore the minimum number of required factors and their trust scores. Our system will randomly select a set of factors that satisfies the login requirements.
Keywords:
Authentication
Cyber security
Context aware
Adaptive
Passive authentication
Continuous authentication
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