Paper Info
Title
Authentication and Authorization for Mobile IoT Devices using Bio-features: Recent Advances and Future Trends.
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.
Year
DOI
Venue
2019
10.1155/2019/5452870
SECURITY AND COMMUNICATION NETWORKS
Field
DocType
Volume
Software deployment,Authentication,Computer security,Computer science,Threat model,Internet of Things,Authorization,Keystroke logging,Biometrics
Journal
abs/1901.09374
ISSN
Citations 
PageRank 
1939-0114
1
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Mohamed Amine Ferrag120821.79
Leandros A. Maglaras225635.13
Abdelouahid Derhab327732.68