Multimodal Access Control: A Review of Emerging Mechanisms

Alsawwaf, M; Chaczko, Z

Multimodal Access Control: A Review of Emerging Mechanisms

Alsawwaf, M

Chaczko, Z

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Smart Innovations in Engineering and Technology, 2019, 15 pp. 183 - 200
Issue Date:: 2019-11-29

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Field	Value	Language
dc.contributor.author	Alsawwaf, M https://orcid.org/0000-0003-0359-9808	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.editor	Klempous, R	en_US
dc.contributor.editor	Nikodem, J	en_US
dc.date.issued	2019-11-29	en_US
dc.identifier.citation	Smart Innovations in Engineering and Technology, 2019, 15 pp. 183 - 200	en_US
dc.identifier.isbn	978-3-030-32861-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137316
dc.description.abstract	Accurately identifying and authenticating a human without requiring proximity, yet with high reliability, is crucial for application areas such as surveillance, dynamic authentication, and proof of identity. While a significant research has been conducted in the direction of human authentication, achieving the authentication in an ambient manner, with high reliability, and security is still far from being perfect under the currently deployed methods. This is due to the requirement of a specific posture and approximation to the device in many approved and deployed methods such as fingerprint, facial recognition, and retinal scan. An ambient authentication system is highly dependent on biometric features that can accurately discriminate between one human and another. These biometric features should be insensitive to variation in posture, proximity, and aging. Extraction of a unique feature set that allows a human to be identified smoothly, even without proximity, under varying conditions is one of the main steps needed for an advancement in this field. In this paper, a review of current and emerging mechanism are provided. A proposed method will use a feature set that allows the system to achieve dynamic detection compared to the currently used technologies such as fingerprint, facial recognition and retinal scan. The proposed feature set is made up of a combination of facial minutiae and thermal contours which are extracted from the human face on-the-fly even without the subject coordination.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Smart Innovations in Engineering and Technology	en_US
dc.relation.isbasedon	10.1007/978-3-030-32861-0_13	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Multimodal Access Control: A Review of Emerging Mechanisms	en_US
dc.type	Chapter
utslib.citation.volume	15	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false	en_US
pubs.publication-status	Published online	en_US
pubs.volume	15	en_US

Abstract:

Accurately identifying and authenticating a human without requiring proximity, yet with high reliability, is crucial for application areas such as surveillance, dynamic authentication, and proof of identity. While a significant research has been conducted in the direction of human authentication, achieving the authentication in an ambient manner, with high reliability, and security is still far from being perfect under the currently deployed methods. This is due to the requirement of a specific posture and approximation to the device in many approved and deployed methods such as fingerprint, facial recognition, and retinal scan. An ambient authentication system is highly dependent on biometric features that can accurately discriminate between one human and another. These biometric features should be insensitive to variation in posture, proximity, and aging. Extraction of a unique feature set that allows a human to be identified smoothly, even without proximity, under varying conditions is one of the main steps needed for an advancement in this field. In this paper, a review of current and emerging mechanism are provided. A proposed method will use a feature set that allows the system to achieve dynamic detection compared to the currently used technologies such as fingerprint, facial recognition and retinal scan. The proposed feature set is made up of a combination of facial minutiae and thermal contours which are extracted from the human face on-the-fly even without the subject coordination.

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http://hdl.handle.net/10453/137316