Authentication and Authorization for Mobile IoT Devices Using Biofeatures: Recent Advances and Future Trends. (5th May 2019)

• Record Type: Journal Article
• Authors: Ferrag, Mohamed Amine; Maglaras, Leandros; Derhab, Abdelouahid
• Other Names: Bernabe Jorge B. Guest Editor.
• Is Part Of: Security and communication networks. Volume 2019(2019)
• Publication Date: 2019-05-05
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2019/5452870
• Languages: English
• ISSNs: 1939-0114

Abstract

Abstract : 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.