WIPP - Smart Authentication: Contextual Strategies for Dynamic User Verification

In this paper, we propose a framework to support continuous and adaptive multi-factor authentication. Our proposed solution is based on leveraging the users’ context to estimate the risk to the remote login and to support passive user authentication. We have developed a theoretical framework that supports dynamic, context-aware and adaptive selection of the authentication factors. Our Context-Aware and Adaptive Multi-Factor Authentication (CAA-MFA) framework increases the security of remote authentication by selecting k number of factors for the users’ authentication in a way that the selected factors are 1) unpredictable by the attackers, 2) satisfy security and privacy constraints, and 3) are suitable for dynamically changing environments. Our current work focuses on implementing a proof-of-concept prototype of the proposed framework.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/rws62797.2024.10799241
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
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article

WIPP - Smart Authentication: Contextual Strategies for Dynamic User Verification

Dipankar Dasgupta, Arunava Roy, Csilla Farkas, Jonathan O. Sharp et al.
User Authentication and Security Systems
article

WIPP - Smart Authentication: Contextual Strategies for Dynamic User Verification

Dipankar Dasgupta, Arunava Roy, Csilla Farkas, Jonathan O. Sharp, Alexander Williams, Baker Womack
article en

Abstract

In this paper, we propose a framework to support continuous and adaptive multi-factor authentication. Our proposed solution is based on leveraging the users’ context to estimate the risk to the remote login and to support passive user authentication. We have developed a theoretical framework that supports dynamic, context-aware and adaptive selection of the authentication factors. Our Context-Aware and Adaptive Multi-Factor Authentication (CAA-MFA) framework increases the security of remote authentication by selecting k number of factors for the users’ authentication in a way that the selected factors are 1) unpredictable by the attackers, 2) satisfy security and privacy constraints, and 3) are suitable for dynamically changing environments. Our current work focuses on implementing a proof-of-concept prototype of the proposed framework.

University of Memphis (US)
Openalex Percentile: Top 63%
User Authentication and Security Systems
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WIPP - Smart Authentication: Contextual Strategies for Dynamic User Verification — Dipankar Dasgupta, Arunava Roy, et al. · (2024) | TGRS Research Map | TGRS