Transparent authentication scheme with adaptive biometrie features for IoT networks

Kuo Hui Yeh; Chunhua Su; Chien Lung Hsu; Wayne Chiu; Yu Fan Hsueh

doi:10.1109/GCCE.2016.7800550

Transparent authentication scheme with adaptive biometrie features for IoT networks

Kuo Hui Yeh
, Chunhua Su
, Chien Lung Hsu
, Wayne Chiu
, Yu Fan Hsueh

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

7 Scopus citations

Abstract

With the comprehensive evolution of information communication technologies on mobile sensing objects, versatile ubiquitous networks embedded with specific-purpose sensors and intelligent wearable devices have promptly been developed and deployed, called the Internet of Things (IoT). On account of the popularity of IoT, the security issues have been promptly focused due to potential threats from IoT architectures. In consideration of the heterogeneous network property of IoT, in this paper we propose an authentication system which applies machine learning techniques to extract user bio-features as authentication tokens and transparently performs continual or real-time entity verification in the back-ground without the user's notices.

Original language	English
Title of host publication	2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509023332
DOIs	https://doi.org/10.1109/GCCE.2016.7800550
State	Published - 27 12 2016
Externally published	Yes
Event	5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan Duration: 11 10 2016 → 14 10 2016

Publication series

Name	2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016

Conference

Conference	5th IEEE Global Conference on Consumer Electronics, GCCE 2016
Country/Territory	Japan
City	Kyoto
Period	11/10/16 → 14/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Internet of Things (IoT)
machine learning
security
support vector machine
transparent authentication

Access to Document

10.1109/GCCE.2016.7800550

Cite this

Yeh, K. H., Su, C., Hsu, C. L., Chiu, W., & Hsueh, Y. F. (2016). Transparent authentication scheme with adaptive biometrie features for IoT networks. In 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016 Article 7800550 (2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2016.7800550

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title = "Transparent authentication scheme with adaptive biometrie features for IoT networks",

abstract = "With the comprehensive evolution of information communication technologies on mobile sensing objects, versatile ubiquitous networks embedded with specific-purpose sensors and intelligent wearable devices have promptly been developed and deployed, called the Internet of Things (IoT). On account of the popularity of IoT, the security issues have been promptly focused due to potential threats from IoT architectures. In consideration of the heterogeneous network property of IoT, in this paper we propose an authentication system which applies machine learning techniques to extract user bio-features as authentication tokens and transparently performs continual or real-time entity verification in the back-ground without the user's notices.",

keywords = "Internet of Things (IoT), machine learning, security, support vector machine, transparent authentication",

author = "Yeh, \{Kuo Hui\} and Chunhua Su and Hsu, \{Chien Lung\} and Wayne Chiu and Hsueh, \{Yu Fan\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 5th IEEE Global Conference on Consumer Electronics, GCCE 2016 ; Conference date: 11-10-2016 Through 14-10-2016",

year = "2016",

month = dec,

day = "27",

doi = "10.1109/GCCE.2016.7800550",

language = "英语",

series = "2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016",

address = "美国",

}

Yeh, KH, Su, C, Hsu, CL, Chiu, W & Hsueh, YF 2016, Transparent authentication scheme with adaptive biometrie features for IoT networks. in 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016., 7800550, 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016, Institute of Electrical and Electronics Engineers Inc., 5th IEEE Global Conference on Consumer Electronics, GCCE 2016, Kyoto, Japan, 11/10/16. https://doi.org/10.1109/GCCE.2016.7800550

Transparent authentication scheme with adaptive biometrie features for IoT networks. / Yeh, Kuo Hui; Su, Chunhua; Hsu, Chien Lung et al.
2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7800550 (2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016).

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

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AU - Yeh, Kuo Hui

AU - Su, Chunhua

AU - Hsu, Chien Lung

AU - Chiu, Wayne

AU - Hsueh, Yu Fan

PY - 2016/12/27

Y1 - 2016/12/27

N2 - With the comprehensive evolution of information communication technologies on mobile sensing objects, versatile ubiquitous networks embedded with specific-purpose sensors and intelligent wearable devices have promptly been developed and deployed, called the Internet of Things (IoT). On account of the popularity of IoT, the security issues have been promptly focused due to potential threats from IoT architectures. In consideration of the heterogeneous network property of IoT, in this paper we propose an authentication system which applies machine learning techniques to extract user bio-features as authentication tokens and transparently performs continual or real-time entity verification in the back-ground without the user's notices.

AB - With the comprehensive evolution of information communication technologies on mobile sensing objects, versatile ubiquitous networks embedded with specific-purpose sensors and intelligent wearable devices have promptly been developed and deployed, called the Internet of Things (IoT). On account of the popularity of IoT, the security issues have been promptly focused due to potential threats from IoT architectures. In consideration of the heterogeneous network property of IoT, in this paper we propose an authentication system which applies machine learning techniques to extract user bio-features as authentication tokens and transparently performs continual or real-time entity verification in the back-ground without the user's notices.

KW - Internet of Things (IoT)

KW - machine learning

KW - security

KW - support vector machine

KW - transparent authentication

UR - https://www.scopus.com/pages/publications/85010338570

U2 - 10.1109/GCCE.2016.7800550

DO - 10.1109/GCCE.2016.7800550

M3 - 会议稿件

AN - SCOPUS:85010338570

T3 - 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016

BT - 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE Global Conference on Consumer Electronics, GCCE 2016

Y2 - 11 October 2016 through 14 October 2016

ER -

Transparent authentication scheme with adaptive biometrie features for IoT networks

Abstract

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Bibliographical note

Keywords

Access to Document

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