EEG-Based User Authentication Using Artifacts

Tien PHAM; Wanli MA; Dat TRAN; Phuoc NGUYEN; Dinh PHUNG

doi:10.1007/978-3-319-07995-0_34

EEG-Based User Authentication Using Artifacts

Tien PHAM
, Wanli MA
, Dat TRAN
, Phuoc NGUYEN
, Dinh PHUNG

Information Systems

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

8 Citations (Scopus)

Abstract

Recently, electroencephalography (EEG) is considered as a new potential type of user authentication with many security advantages of being difficult to fake, impossible to observe or intercept, unique, and alive person recording require. The difficulty is that EEG signals are very weak and subject to the contamination from many artifact signals. However, for the applications in human health, true EEG signals, without the contamination, is highly desirable, but for the purposes of authentication, where stable and repeatable patterns from the source signals are critical, the origins of the signals are of less concern. In this paper, we propose an EEG-based authentication method, which is simple to implement and easy to use, by taking the advantage of EEG artifacts, generated by a number of purposely designed voluntary facial muscle movements. These tasks can be single or combined, depending on the level of security required. Our experiment showed that using EEG artifacts for user authentication in multilevel security systems is promising.

Original language	English
Title of host publication	International Joint Conference SOCO’14-CISIS’14-ICEUTE’14
Subtitle of host publication	Bilbao, Spain, June 25th–27th, 2014, Proceedings
Editors	José Gaviria de la Puerta, Iván García Ferreira, Pablo García Bringas, Fanny Klett, Ajith Abraham, André C.P.L.F. de Carvalho, Álvaro Herrero, Bruno Baruque, Héctor Quintián, Emilio Corchado
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	343-353
Number of pages	10
Volume	299
ISBN (Electronic)	9783319079950
ISBN (Print)	9781479950492
DOIs	https://doi.org/10.1007/978-3-319-07995-0_34
Publication status	Published - 2014
Event	International Joint Conference SOCO'14-CISIS'14-ICEUTE'14 - Bilbao, Bilbao, Spain Duration: 25 Jun 2014 → 27 Jun 2014

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	299
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Joint Conference SOCO'14-CISIS'14-ICEUTE'14
Country/Territory	Spain
City	Bilbao
Period	25/06/14 → 27/06/14

UN SDGs

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

SDG 3 Good Health and Well-being

Access to Document

10.1007/978-3-319-07995-0_34

Cite this

PHAM, T., MA, W., TRAN, D., NGUYEN, P., & PHUNG, D. (2014). EEG-Based User Authentication Using Artifacts. In J. G. de la Puerta, I. G. Ferreira, P. G. Bringas, F. Klett, A. Abraham, A. C. P. L. F. de Carvalho, Á. Herrero, B. Baruque, H. Quintián, & E. Corchado (Eds.), International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Bilbao, Spain, June 25th–27th, 2014, Proceedings (Vol. 299, pp. 343-353). (Advances in Intelligent Systems and Computing; Vol. 299). Springer. https://doi.org/10.1007/978-3-319-07995-0_34

PHAM, Tien ; MA, Wanli ; TRAN, Dat et al. / EEG-Based User Authentication Using Artifacts. International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Bilbao, Spain, June 25th–27th, 2014, Proceedings. editor / José Gaviria de la Puerta ; Iván García Ferreira ; Pablo García Bringas ; Fanny Klett ; Ajith Abraham ; André C.P.L.F. de Carvalho ; Álvaro Herrero ; Bruno Baruque ; Héctor Quintián ; Emilio Corchado. Vol. 299 Cham, Switzerland : Springer, 2014. pp. 343-353 (Advances in Intelligent Systems and Computing).

@inproceedings{9ebf597805034e69a787b18578233523,

title = "EEG-Based User Authentication Using Artifacts",

abstract = "Recently, electroencephalography (EEG) is considered as a new potential type of user authentication with many security advantages of being difficult to fake, impossible to observe or intercept, unique, and alive person recording require. The difficulty is that EEG signals are very weak and subject to the contamination from many artifact signals. However, for the applications in human health, true EEG signals, without the contamination, is highly desirable, but for the purposes of authentication, where stable and repeatable patterns from the source signals are critical, the origins of the signals are of less concern. In this paper, we propose an EEG-based authentication method, which is simple to implement and easy to use, by taking the advantage of EEG artifacts, generated by a number of purposely designed voluntary facial muscle movements. These tasks can be single or combined, depending on the level of security required. Our experiment showed that using EEG artifacts for user authentication in multilevel security systems is promising.",

keywords = "Authentication, Biometrics, EEG, Pattern recognition, Security, biometrics, security, authentication, pattern recognition",

author = "Tien PHAM and Wanli MA and Dat TRAN and Phuoc NGUYEN and Dinh PHUNG",

year = "2014",

doi = "10.1007/978-3-319-07995-0\_34",

language = "English",

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volume = "299",

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pages = "343--353",

editor = "\{de la Puerta\}, \{Jos{\'e} Gaviria\} and Ferreira, \{Iv{\'a}n Garc{\'i}a\} and Bringas, \{Pablo Garc{\'i}a\} and Fanny Klett and Ajith Abraham and \{de Carvalho\}, \{Andr{\'e} C.P.L.F.\} and {\'A}lvaro Herrero and Bruno Baruque and H{\'e}ctor Quinti{\'a}n and Emilio Corchado",

booktitle = "International Joint Conference SOCO{\textquoteright}14-CISIS{\textquoteright}14-ICEUTE{\textquoteright}14",

address = "Netherlands",

note = "International Joint Conference SOCO'14-CISIS'14-ICEUTE'14 ; Conference date: 25-06-2014 Through 27-06-2014",

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PHAM, T, MA, W, TRAN, D, NGUYEN, P & PHUNG, D 2014, EEG-Based User Authentication Using Artifacts. in JG de la Puerta, IG Ferreira, PG Bringas, F Klett, A Abraham, ACPLF de Carvalho, Á Herrero, B Baruque, H Quintián & E Corchado (eds), International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Bilbao, Spain, June 25th–27th, 2014, Proceedings. vol. 299, Advances in Intelligent Systems and Computing, vol. 299, Springer, Cham, Switzerland, pp. 343-353, International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, Bilbao, Spain, 25/06/14. https://doi.org/10.1007/978-3-319-07995-0_34

EEG-Based User Authentication Using Artifacts. / PHAM, Tien; MA, Wanli; TRAN, Dat et al.
International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Bilbao, Spain, June 25th–27th, 2014, Proceedings. ed. / José Gaviria de la Puerta; Iván García Ferreira; Pablo García Bringas; Fanny Klett; Ajith Abraham; André C.P.L.F. de Carvalho; Álvaro Herrero; Bruno Baruque; Héctor Quintián; Emilio Corchado. Vol. 299 Cham, Switzerland: Springer, 2014. p. 343-353 (Advances in Intelligent Systems and Computing; Vol. 299).

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

TY - GEN

T1 - EEG-Based User Authentication Using Artifacts

AU - PHAM, Tien

AU - MA, Wanli

AU - TRAN, Dat

AU - NGUYEN, Phuoc

AU - PHUNG, Dinh

PY - 2014

Y1 - 2014

N2 - Recently, electroencephalography (EEG) is considered as a new potential type of user authentication with many security advantages of being difficult to fake, impossible to observe or intercept, unique, and alive person recording require. The difficulty is that EEG signals are very weak and subject to the contamination from many artifact signals. However, for the applications in human health, true EEG signals, without the contamination, is highly desirable, but for the purposes of authentication, where stable and repeatable patterns from the source signals are critical, the origins of the signals are of less concern. In this paper, we propose an EEG-based authentication method, which is simple to implement and easy to use, by taking the advantage of EEG artifacts, generated by a number of purposely designed voluntary facial muscle movements. These tasks can be single or combined, depending on the level of security required. Our experiment showed that using EEG artifacts for user authentication in multilevel security systems is promising.

AB - Recently, electroencephalography (EEG) is considered as a new potential type of user authentication with many security advantages of being difficult to fake, impossible to observe or intercept, unique, and alive person recording require. The difficulty is that EEG signals are very weak and subject to the contamination from many artifact signals. However, for the applications in human health, true EEG signals, without the contamination, is highly desirable, but for the purposes of authentication, where stable and repeatable patterns from the source signals are critical, the origins of the signals are of less concern. In this paper, we propose an EEG-based authentication method, which is simple to implement and easy to use, by taking the advantage of EEG artifacts, generated by a number of purposely designed voluntary facial muscle movements. These tasks can be single or combined, depending on the level of security required. Our experiment showed that using EEG artifacts for user authentication in multilevel security systems is promising.

KW - Authentication

KW - Biometrics

KW - EEG

KW - Pattern recognition

KW - Security

KW - biometrics

KW - security

KW - authentication

KW - pattern recognition

UR - https://www.scopus.com/pages/publications/84927749085

UR - http://www.mendeley.com/research/eegbased-user-authentication-using-artifacts

U2 - 10.1007/978-3-319-07995-0_34

DO - 10.1007/978-3-319-07995-0_34

M3 - Conference contribution

SN - 9781479950492

VL - 299

T3 - Advances in Intelligent Systems and Computing

SP - 343

EP - 353

BT - International Joint Conference SOCO’14-CISIS’14-ICEUTE’14

A2 - de la Puerta, José Gaviria

A2 - Ferreira, Iván García

A2 - Bringas, Pablo García

A2 - Klett, Fanny

A2 - Abraham, Ajith

A2 - de Carvalho, André C.P.L.F.

A2 - Herrero, Álvaro

A2 - Baruque, Bruno

A2 - Quintián, Héctor

A2 - Corchado, Emilio

PB - Springer

CY - Cham, Switzerland

T2 - International Joint Conference SOCO'14-CISIS'14-ICEUTE'14

Y2 - 25 June 2014 through 27 June 2014

ER -

PHAM T, MA W, TRAN D, NGUYEN P, PHUNG D. EEG-Based User Authentication Using Artifacts. In de la Puerta JG, Ferreira IG, Bringas PG, Klett F, Abraham A, de Carvalho ACPLF, Herrero Á, Baruque B, Quintián H, Corchado E, editors, International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Bilbao, Spain, June 25th–27th, 2014, Proceedings. Vol. 299. Cham, Switzerland: Springer. 2014. p. 343-353. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-07995-0_34

EEG-Based User Authentication Using Artifacts

Abstract

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UN SDGs

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