Metric based technique in multi-factor authentication system with artificial intelligence technologies

Chripin Kabuya; Jackson Phiri; Tiejue Zhao

doi:10.1007/978-3-642-27323-0_12

Metric based technique in multi-factor authentication system with artificial intelligence technologies

Chripin Kabuya^*
, Jackson Phiri
, Tiejue Zhao

^*Corresponding author for this work

Walter Sisulu University
School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The metric based authentication system have found a lot of applications in systems such as the banking and immigration point based systems used in several countries such the United Kingdom, Australia and Canada. Scoring based authentication system is also widely used in biometrics authentication systems. In this paper, we extend the metric based authentication system to come up with a web based multi-factor authentication system. The system uses four identity attributes with artificial neural networks (ANN) used to fuse the metrics values in an information fusion system. Levenberg-Marquardt Optimization is used to update the neural weights and bias while trainln is used to train the ANN information fusion system. Delaunay triangulation technique is used for the fingerprint detection algorithm.

Original language	English
Title of host publication	Future Wireless Networks and Information Systems
Pages	89-97
Number of pages	9
Edition	VOL. 1
DOIs	https://doi.org/10.1007/978-3-642-27323-0_12
State	Published - 2012
Externally published	Yes
Event	2011 International Conference on Future Wireless Networks and Information Systems, ICFWI 2011 - Macao, China Duration: 30 Nov 2011 → 1 Dec 2011

Publication series

Name	Lecture Notes in Electrical Engineering
Number	VOL. 1
Volume	143 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2011 International Conference on Future Wireless Networks and Information Systems, ICFWI 2011
Country/Territory	China
City	Macao
Period	30/11/11 → 1/12/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

Keywords

Delaunay triangulation
Identity attributes metrics
artificial intelligence
multi-factor authentication

Access to Document

10.1007/978-3-642-27323-0_12

Cite this

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title = "Metric based technique in multi-factor authentication system with artificial intelligence technologies",

abstract = "The metric based authentication system have found a lot of applications in systems such as the banking and immigration point based systems used in several countries such the United Kingdom, Australia and Canada. Scoring based authentication system is also widely used in biometrics authentication systems. In this paper, we extend the metric based authentication system to come up with a web based multi-factor authentication system. The system uses four identity attributes with artificial neural networks (ANN) used to fuse the metrics values in an information fusion system. Levenberg-Marquardt Optimization is used to update the neural weights and bias while trainln is used to train the ANN information fusion system. Delaunay triangulation technique is used for the fingerprint detection algorithm.",

keywords = "Delaunay triangulation, Identity attributes metrics, artificial intelligence, multi-factor authentication",

author = "Chripin Kabuya and Jackson Phiri and Tiejue Zhao",

year = "2012",

doi = "10.1007/978-3-642-27323-0\_12",

language = "英语",

isbn = "9783642273223",

series = "Lecture Notes in Electrical Engineering",

number = "VOL. 1",

pages = "89--97",

booktitle = "Future Wireless Networks and Information Systems",

edition = "VOL. 1",

note = "2011 International Conference on Future Wireless Networks and Information Systems, ICFWI 2011 ; Conference date: 30-11-2011 Through 01-12-2011",

}

Kabuya, C, Phiri, J & Zhao, T 2012, Metric based technique in multi-factor authentication system with artificial intelligence technologies. in Future Wireless Networks and Information Systems. VOL. 1 edn, Lecture Notes in Electrical Engineering, no. VOL. 1, vol. 143 LNEE, pp. 89-97, 2011 International Conference on Future Wireless Networks and Information Systems, ICFWI 2011, Macao, China, 30/11/11. https://doi.org/10.1007/978-3-642-27323-0_12

Metric based technique in multi-factor authentication system with artificial intelligence technologies. / Kabuya, Chripin; Phiri, Jackson; Zhao, Tiejue.
Future Wireless Networks and Information Systems. VOL. 1. ed. 2012. p. 89-97 (Lecture Notes in Electrical Engineering; Vol. 143 LNEE, No. VOL. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Metric based technique in multi-factor authentication system with artificial intelligence technologies

AU - Kabuya, Chripin

AU - Phiri, Jackson

AU - Zhao, Tiejue

PY - 2012

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N2 - The metric based authentication system have found a lot of applications in systems such as the banking and immigration point based systems used in several countries such the United Kingdom, Australia and Canada. Scoring based authentication system is also widely used in biometrics authentication systems. In this paper, we extend the metric based authentication system to come up with a web based multi-factor authentication system. The system uses four identity attributes with artificial neural networks (ANN) used to fuse the metrics values in an information fusion system. Levenberg-Marquardt Optimization is used to update the neural weights and bias while trainln is used to train the ANN information fusion system. Delaunay triangulation technique is used for the fingerprint detection algorithm.

AB - The metric based authentication system have found a lot of applications in systems such as the banking and immigration point based systems used in several countries such the United Kingdom, Australia and Canada. Scoring based authentication system is also widely used in biometrics authentication systems. In this paper, we extend the metric based authentication system to come up with a web based multi-factor authentication system. The system uses four identity attributes with artificial neural networks (ANN) used to fuse the metrics values in an information fusion system. Levenberg-Marquardt Optimization is used to update the neural weights and bias while trainln is used to train the ANN information fusion system. Delaunay triangulation technique is used for the fingerprint detection algorithm.

KW - Delaunay triangulation

KW - Identity attributes metrics

KW - artificial intelligence

KW - multi-factor authentication

UR - https://www.scopus.com/pages/publications/84856932953

U2 - 10.1007/978-3-642-27323-0_12

DO - 10.1007/978-3-642-27323-0_12

M3 - 会议稿件

AN - SCOPUS:84856932953

SN - 9783642273223

T3 - Lecture Notes in Electrical Engineering

SP - 89

EP - 97

BT - Future Wireless Networks and Information Systems

T2 - 2011 International Conference on Future Wireless Networks and Information Systems, ICFWI 2011

Y2 - 30 November 2011 through 1 December 2011

ER -

Metric based technique in multi-factor authentication system with artificial intelligence technologies

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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