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Authentication and Authorization for Mobile IoT Devices Using Biofeatures: Recent Advances and Future Trends

Ferrag, Mohamed Amine; Maglaras, Leandros; Derhab, Abdelouahid


Mohamed Amine Ferrag

Abdelouahid Derhab


Biofeatures are fast becoming a key tool to authenticate the IoT devices; in this sense, the purpose of this investigation is to summarise the factors that hinder biometrics models’ development and deployment on a large scale, including human physiological (e.g., face, eyes, fingerprints-palm, or electrocardiogram) and behavioral features (e.g., signature, voice, gait, or keystroke). The different machine learning and data mining methods used by authentication and authorization schemes for mobile IoT devices are provided. Threat models and countermeasures used by biometrics-based authentication schemes for mobile IoT devices are also presented. More specifically, we analyze the state of the art of the existing biometric-based authentication schemes for IoT devices. Based on the current taxonomy, we conclude our paper with different types of challenges for future research efforts in biometrics-based authentication schemes for IoT devices.

Journal Article Type Article
Acceptance Date Apr 22, 2019
Online Publication Date May 5, 2019
Publication Date May 5, 2019
Deposit Date Jan 6, 2023
Publicly Available Date Jan 9, 2023
Journal Security and Communication Networks
Print ISSN 1939-0114
Electronic ISSN 1939-0122
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 2019
Article Number 5452870
Public URL


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