A Study on the Feasibility of Using EEG Signals for Authentication Purpose

Wanli MA; Dat TRAN; Phuoc Nguyen

A Study on the Feasibility of Using EEG Signals for Authentication Purpose

Wanli MA, Dat TRAN, Phuoc Nguyen

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

19 Citations (Scopus)

6 Downloads (Pure)

Abstract

Authentication is to verify if one is who he/she claims. It plays an important role in security systems. In this paper, we study the feasibility of using Electroencephalography EEG brain signals for authentication purpose. In a general sense, there are three types of authentications including password based, token based, and biometric based. Each of them has its own merit and drawback. Technology advancing makes it possible to easily obtain EEG signals. The evidences show that finding repeatable and stable brainwave patterns in EEG data is feasible. The prospect of using EEG signals for authentication is promising. An EEG based authentication system has the combined advantages of both password based and biometric based authentication systems, yet without their drawbacks. Therefore, it makes an EEG signal based authentication suitable for especially high security system. Through the analysis and processing of EEG signals of motor imagery from BCI Competition, our experiment results confirm the theories stated in this paper.

Original language	English
Title of host publication	Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Part II
Subtitle of host publication	Lecture Notes in Computer Science
Editors	Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil
Place of Publication	Heidelberg
Publisher	Springer
Pages	562-569
Number of pages	8
Volume	8227
ISBN (Print)	9783642420412
Publication status	Published - 2013
Event	20th International Conference on Neural Information Processing (ICONIP 2013) - Daegu, Daegu, Korea, Republic of Duration: 3 Nov 2013 → 7 Nov 2013

Conference

Conference	20th International Conference on Neural Information Processing (ICONIP 2013)
Abbreviated title	ICONIP 2013
Country/Territory	Korea, Republic of
City	Daegu
Period	3/11/13 → 7/11/13

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https://link.springer.com/chapter/10.1007%2F978-3-642-42042-9_70

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MA, W., TRAN, D., & Nguyen, P. (2013). A Study on the Feasibility of Using EEG Signals for Authentication Purpose. In M. Lee, A. Hirose, Z-G. Hou, & R. M. Kil (Eds.), Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Part II: Lecture Notes in Computer Science (Vol. 8227, pp. 562-569). Springer. https://link.springer.com/chapter/10.1007%2F978-3-642-42042-9_70

MA, Wanli ; TRAN, Dat ; Nguyen, Phuoc. / A Study on the Feasibility of Using EEG Signals for Authentication Purpose. Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Part II: Lecture Notes in Computer Science. editor / Minho Lee ; Akira Hirose ; Zeng-Guang Hou ; Rhee Man Kil. Vol. 8227 Heidelberg : Springer, 2013. pp. 562-569

@inproceedings{d45e618350fa4b5b8fdb6de5c76dce74,

title = "A Study on the Feasibility of Using EEG Signals for Authentication Purpose",

abstract = "Authentication is to verify if one is who he/she claims. It plays an important role in security systems. In this paper, we study the feasibility of using Electroencephalography EEG brain signals for authentication purpose. In a general sense, there are three types of authentications including password based, token based, and biometric based. Each of them has its own merit and drawback. Technology advancing makes it possible to easily obtain EEG signals. The evidences show that finding repeatable and stable brainwave patterns in EEG data is feasible. The prospect of using EEG signals for authentication is promising. An EEG based authentication system has the combined advantages of both password based and biometric based authentication systems, yet without their drawbacks. Therefore, it makes an EEG signal based authentication suitable for especially high security system. Through the analysis and processing of EEG signals of motor imagery from BCI Competition, our experiment results confirm the theories stated in this paper.",

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author = "Wanli MA and Dat TRAN and Phuoc Nguyen",

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editor = "Minho Lee and Akira Hirose and Zeng-Guang Hou and Kil, {Rhee Man}",

booktitle = "Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Part II",

publisher = "Springer",

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note = "20th International Conference on Neural Information Processing (ICONIP 2013), ICONIP 2013 ; Conference date: 03-11-2013 Through 07-11-2013",

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MA, W , TRAN, D & Nguyen, P 2013, A Study on the Feasibility of Using EEG Signals for Authentication Purpose. in M Lee, A Hirose, Z-G Hou & RM Kil (eds), Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Part II: Lecture Notes in Computer Science. vol. 8227, Springer, Heidelberg, pp. 562-569, 20th International Conference on Neural Information Processing (ICONIP 2013), Daegu, Korea, Republic of, 3/11/13. <https://link.springer.com/chapter/10.1007%2F978-3-642-42042-9_70>

A Study on the Feasibility of Using EEG Signals for Authentication Purpose. / MA, Wanli ; TRAN, Dat; Nguyen, Phuoc.
Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Part II: Lecture Notes in Computer Science. ed. / Minho Lee; Akira Hirose; Zeng-Guang Hou; Rhee Man Kil. Vol. 8227 Heidelberg: Springer, 2013. p. 562-569.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - A Study on the Feasibility of Using EEG Signals for Authentication Purpose

AU - MA, Wanli

AU - TRAN, Dat

AU - Nguyen, Phuoc

PY - 2013

Y1 - 2013

N2 - Authentication is to verify if one is who he/she claims. It plays an important role in security systems. In this paper, we study the feasibility of using Electroencephalography EEG brain signals for authentication purpose. In a general sense, there are three types of authentications including password based, token based, and biometric based. Each of them has its own merit and drawback. Technology advancing makes it possible to easily obtain EEG signals. The evidences show that finding repeatable and stable brainwave patterns in EEG data is feasible. The prospect of using EEG signals for authentication is promising. An EEG based authentication system has the combined advantages of both password based and biometric based authentication systems, yet without their drawbacks. Therefore, it makes an EEG signal based authentication suitable for especially high security system. Through the analysis and processing of EEG signals of motor imagery from BCI Competition, our experiment results confirm the theories stated in this paper.

AB - Authentication is to verify if one is who he/she claims. It plays an important role in security systems. In this paper, we study the feasibility of using Electroencephalography EEG brain signals for authentication purpose. In a general sense, there are three types of authentications including password based, token based, and biometric based. Each of them has its own merit and drawback. Technology advancing makes it possible to easily obtain EEG signals. The evidences show that finding repeatable and stable brainwave patterns in EEG data is feasible. The prospect of using EEG signals for authentication is promising. An EEG based authentication system has the combined advantages of both password based and biometric based authentication systems, yet without their drawbacks. Therefore, it makes an EEG signal based authentication suitable for especially high security system. Through the analysis and processing of EEG signals of motor imagery from BCI Competition, our experiment results confirm the theories stated in this paper.

KW - Use Authentication

KW - EEG

M3 - Conference contribution

SN - 9783642420412

VL - 8227

SP - 562

EP - 569

BT - Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Part II

A2 - Lee, Minho

A2 - Hirose, Akira

A2 - Hou, Zeng-Guang

A2 - Kil, Rhee Man

PB - Springer

CY - Heidelberg

T2 - 20th International Conference on Neural Information Processing (ICONIP 2013)

Y2 - 3 November 2013 through 7 November 2013

ER -

A Study on the Feasibility of Using EEG Signals for Authentication Purpose

Abstract

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