Enhancing IoT Security: Continuous Authentication Through Behavioral Biometrics and AI

This review paper examines the role of behavioral biometrics and artificial intelligence in strengthening continuous authentication for Internet of Things (IoT) systems. It discusses how behavioral signals such as gait, voice, keystroke dynamics, and touch or swipe patterns can support passive and repeated user verification throughout a session. The paper reviews current AI-driven biometric approaches, compares their suitability for IoT security, and highlights key challenges including spoofing attacks, resource constraints, privacy risks, and biometric template protection. It also identifies future research directions such as federated learning, lightweight on-device AI, and stronger anti-spoofing methods.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-26
DOI
https://doi.org/10.5281/zenodo.20941225
Primary Topic
User Authentication and Security Systems
Type
preprint
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preprint

Enhancing IoT Security: Continuous Authentication Through Behavioral Biometrics and AI

A Nithin Kumar Shetty, Shyni Sulthan, Alvina Shinoj
Zenodo (CERN European Organization for Nuclear Research)
User Authentication and Security Systems
preprint

Enhancing IoT Security: Continuous Authentication Through Behavioral Biometrics and AI

A Nithin Kumar Shetty, Shyni Sulthan, Alvina Shinoj
preprint en

Abstract

This review paper examines the role of behavioral biometrics and artificial intelligence in strengthening continuous authentication for Internet of Things (IoT) systems. It discusses how behavioral signals such as gait, voice, keystroke dynamics, and touch or swipe patterns can support passive and repeated user verification throughout a session. The paper reviews current AI-driven biometric approaches, compares their suitability for IoT security, and highlights key challenges including spoofing attacks, resource constraints, privacy risks, and biometric template protection. It also identifies future research directions such as federated learning, lightweight on-device AI, and stronger anti-spoofing methods.

Zenodo (CERN European Organization for Nuclear Research)
Millennium Engineering and Integration (United States) (US)
User Authentication and Security Systems
DOIOpen Access PDFOpenAlex
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Enhancing IoT Security: Continuous Authentication Through Behavioral Biometrics and AI — A Nithin Kumar Shetty, Shyni Sulthan, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS