EyeVeri: A secure and usable approach for smartphone user authentication

Chen Song; Aosen Wang; Kui Ren; Wenyao Xu

doi:10.1109/INFOCOM.2016.7524367

EyeVeri: A secure and usable approach for smartphone user authentication

Chen Song
, Aosen Wang
, Kui Ren
, Wenyao Xu

Department of Computer Science and Engineering

SUNY Buffalo

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

66 Scopus citations

Abstract

As mobile technology grows rapidly, the smartphone has become indispensable for transmitting private user data, storing the sensitive corporate files, and conducting secure payment transactions. However, with mobile security research lagging, smartphones are extremely vulnerable to unauthenticated access. In this paper, we present, EyeVeri, a novel eye-movement-based authentication system for smartphone security protection. Specifically, EyeVeri tracks human eye movement through the built-in front camera and applies the signal processing and pattern matching techniques to explore volitional and non-volitional gaze patterns for access authentication. Through a comprehensive user study, EyeVeri performs well and is a promising approach for smartphone user authentication. We also discuss the evaluation results in-depth and analyze opportunities for future work.

Original language	English
Title of host publication	IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467399531
DOIs	https://doi.org/10.1109/INFOCOM.2016.7524367
State	Published - Jul 27 2016
Event	35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - San Francisco, United States Duration: Apr 10 2016 → Apr 14 2016

Publication series

Name	Proceedings - IEEE INFOCOM
Volume	2016-July
ISSN (Print)	0743-166X

Conference

Conference	35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
Country/Territory	United States
City	San Francisco
Period	04/10/16 → 04/14/16

Access to Document

10.1109/INFOCOM.2016.7524367

Cite this

Song, C., Wang, A., Ren, K., & Xu, W. (2016). EyeVeri: A secure and usable approach for smartphone user authentication. In IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications Article 7524367 (Proceedings - IEEE INFOCOM; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOM.2016.7524367

@inproceedings{88417a46d2de40c3bfd6f01306614b11,

title = "EyeVeri: A secure and usable approach for smartphone user authentication",

abstract = "As mobile technology grows rapidly, the smartphone has become indispensable for transmitting private user data, storing the sensitive corporate files, and conducting secure payment transactions. However, with mobile security research lagging, smartphones are extremely vulnerable to unauthenticated access. In this paper, we present, EyeVeri, a novel eye-movement-based authentication system for smartphone security protection. Specifically, EyeVeri tracks human eye movement through the built-in front camera and applies the signal processing and pattern matching techniques to explore volitional and non-volitional gaze patterns for access authentication. Through a comprehensive user study, EyeVeri performs well and is a promising approach for smartphone user authentication. We also discuss the evaluation results in-depth and analyze opportunities for future work.",

author = "Chen Song and Aosen Wang and Kui Ren and Wenyao Xu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 ; Conference date: 10-04-2016 Through 14-04-2016",

year = "2016",

month = jul,

day = "27",

doi = "10.1109/INFOCOM.2016.7524367",

language = "English",

series = "Proceedings - IEEE INFOCOM",

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

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}

Song, C, Wang, A, Ren, K & Xu, W 2016, EyeVeri: A secure and usable approach for smartphone user authentication. in IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications., 7524367, Proceedings - IEEE INFOCOM, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016, San Francisco, United States, 04/10/16. https://doi.org/10.1109/INFOCOM.2016.7524367

EyeVeri: A secure and usable approach for smartphone user authentication. / Song, Chen; Wang, Aosen; Ren, Kui et al.
IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., 2016. 7524367 (Proceedings - IEEE INFOCOM; Vol. 2016-July).

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

TY - GEN

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T2 - 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016

AU - Song, Chen

AU - Wang, Aosen

AU - Ren, Kui

AU - Xu, Wenyao

PY - 2016/7/27

Y1 - 2016/7/27

N2 - As mobile technology grows rapidly, the smartphone has become indispensable for transmitting private user data, storing the sensitive corporate files, and conducting secure payment transactions. However, with mobile security research lagging, smartphones are extremely vulnerable to unauthenticated access. In this paper, we present, EyeVeri, a novel eye-movement-based authentication system for smartphone security protection. Specifically, EyeVeri tracks human eye movement through the built-in front camera and applies the signal processing and pattern matching techniques to explore volitional and non-volitional gaze patterns for access authentication. Through a comprehensive user study, EyeVeri performs well and is a promising approach for smartphone user authentication. We also discuss the evaluation results in-depth and analyze opportunities for future work.

AB - As mobile technology grows rapidly, the smartphone has become indispensable for transmitting private user data, storing the sensitive corporate files, and conducting secure payment transactions. However, with mobile security research lagging, smartphones are extremely vulnerable to unauthenticated access. In this paper, we present, EyeVeri, a novel eye-movement-based authentication system for smartphone security protection. Specifically, EyeVeri tracks human eye movement through the built-in front camera and applies the signal processing and pattern matching techniques to explore volitional and non-volitional gaze patterns for access authentication. Through a comprehensive user study, EyeVeri performs well and is a promising approach for smartphone user authentication. We also discuss the evaluation results in-depth and analyze opportunities for future work.

UR - https://www.scopus.com/pages/publications/84983372903

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DO - 10.1109/INFOCOM.2016.7524367

M3 - Conference contribution

AN - SCOPUS:84983372903

T3 - Proceedings - IEEE INFOCOM

BT - IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 10 April 2016 through 14 April 2016

ER -

EyeVeri: A secure and usable approach for smartphone user authentication

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