A Generic Framework for EEG-Based Biometric Authentication

Aditya Sundararajan; Alexander Pons; Arif I. Sarwat

doi:10.1109/ITNG.2015.27

A Generic Framework for EEG-Based Biometric Authentication

Aditya Sundararajan, Alexander Pons, Arif I. Sarwat

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

16 Scopus citations

Abstract

Biometric systems are a part and parcel of everyone's lives these days. However, with the increase in their use, the security risks associated with them have equally increased. Hence, there is an increased need to develop systems which use biometrics efficiently and ensure the authentication is integral and effective. This paper aims to introduce the concept of using Electro Encephalogram (EEG), commonly known as brain waves, as a biometric. A wavelet based feature extraction method is proposed, that uses visual and auditory evoked potentials. The future scope, pros and cons of this biometric are analyzed next.

Original language	English
Title of host publication	Proceedings - 12th International Conference on Information Technology
Subtitle of host publication	New Generations, ITNG 2015
Editors	Shahram Latifi, Kohei Arai, Glauco Carneiro, Narayan Debnath, Luiz Alberto Vieira Dias, Ray Hashemi, Teruya Minamoto, Yenumula Reddy, Kashif Saleem, Fangyan Shen, Christoph Thuemmler
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	139-144
Number of pages	6
ISBN (Electronic)	9781479988273
DOIs	https://doi.org/10.1109/ITNG.2015.27
State	Published - May 26 2015
Externally published	Yes
Event	12th International Conference on Information Technology: New Generations, ITNG 2015 - Las Vegas, United States Duration: Apr 13 2015 → Apr 15 2015

Publication series

Name	Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015

Conference

Conference	12th International Conference on Information Technology: New Generations, ITNG 2015
Country/Territory	United States
City	Las Vegas
Period	04/13/15 → 04/15/15

Funding

Funders	Funder number
National Science Foundation	1446570

Keywords

EEG
biometric
brain wave
evoked potentials
pros and cons
security
wavelets

Access to Document

10.1109/ITNG.2015.27

Cite this

Sundararajan, A., Pons, A., & Sarwat, A. I. (2015). A Generic Framework for EEG-Based Biometric Authentication. In S. Latifi, K. Arai, G. Carneiro, N. Debnath, L. A. Vieira Dias, R. Hashemi, T. Minamoto, Y. Reddy, K. Saleem, F. Shen, & C. Thuemmler (Eds.), Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015 (pp. 139-144). Article 7113462 (Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITNG.2015.27

Sundararajan, Aditya ; Pons, Alexander ; Sarwat, Arif I. / A Generic Framework for EEG-Based Biometric Authentication. Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015. editor / Shahram Latifi ; Kohei Arai ; Glauco Carneiro ; Narayan Debnath ; Luiz Alberto Vieira Dias ; Ray Hashemi ; Teruya Minamoto ; Yenumula Reddy ; Kashif Saleem ; Fangyan Shen ; Christoph Thuemmler. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 139-144 (Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015).

@inproceedings{ce5e7129c6c544eaacf5149edeb7f0ba,

title = "A Generic Framework for EEG-Based Biometric Authentication",

abstract = "Biometric systems are a part and parcel of everyone's lives these days. However, with the increase in their use, the security risks associated with them have equally increased. Hence, there is an increased need to develop systems which use biometrics efficiently and ensure the authentication is integral and effective. This paper aims to introduce the concept of using Electro Encephalogram (EEG), commonly known as brain waves, as a biometric. A wavelet based feature extraction method is proposed, that uses visual and auditory evoked potentials. The future scope, pros and cons of this biometric are analyzed next.",

keywords = "EEG, biometric, brain wave, evoked potentials, pros and cons, security, wavelets",

author = "Aditya Sundararajan and Alexander Pons and Sarwat, {Arif I.}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th International Conference on Information Technology: New Generations, ITNG 2015 ; Conference date: 13-04-2015 Through 15-04-2015",

year = "2015",

month = may,

day = "26",

doi = "10.1109/ITNG.2015.27",

language = "English",

series = "Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015",

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

pages = "139--144",

editor = "Shahram Latifi and Kohei Arai and Glauco Carneiro and Narayan Debnath and {Vieira Dias}, {Luiz Alberto} and Ray Hashemi and Teruya Minamoto and Yenumula Reddy and Kashif Saleem and Fangyan Shen and Christoph Thuemmler",

booktitle = "Proceedings - 12th International Conference on Information Technology",

}

Sundararajan, A, Pons, A & Sarwat, AI 2015, A Generic Framework for EEG-Based Biometric Authentication. in S Latifi, K Arai, G Carneiro, N Debnath, LA Vieira Dias, R Hashemi, T Minamoto, Y Reddy, K Saleem, F Shen & C Thuemmler (eds), Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015., 7113462, Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015, Institute of Electrical and Electronics Engineers Inc., pp. 139-144, 12th International Conference on Information Technology: New Generations, ITNG 2015, Las Vegas, United States, 04/13/15. https://doi.org/10.1109/ITNG.2015.27

A Generic Framework for EEG-Based Biometric Authentication. / Sundararajan, Aditya; Pons, Alexander; Sarwat, Arif I.
Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015. ed. / Shahram Latifi; Kohei Arai; Glauco Carneiro; Narayan Debnath; Luiz Alberto Vieira Dias; Ray Hashemi; Teruya Minamoto; Yenumula Reddy; Kashif Saleem; Fangyan Shen; Christoph Thuemmler. Institute of Electrical and Electronics Engineers Inc., 2015. p. 139-144 7113462 (Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015).

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

TY - GEN

T1 - A Generic Framework for EEG-Based Biometric Authentication

AU - Sundararajan, Aditya

AU - Pons, Alexander

AU - Sarwat, Arif I.

PY - 2015/5/26

Y1 - 2015/5/26

N2 - Biometric systems are a part and parcel of everyone's lives these days. However, with the increase in their use, the security risks associated with them have equally increased. Hence, there is an increased need to develop systems which use biometrics efficiently and ensure the authentication is integral and effective. This paper aims to introduce the concept of using Electro Encephalogram (EEG), commonly known as brain waves, as a biometric. A wavelet based feature extraction method is proposed, that uses visual and auditory evoked potentials. The future scope, pros and cons of this biometric are analyzed next.

AB - Biometric systems are a part and parcel of everyone's lives these days. However, with the increase in their use, the security risks associated with them have equally increased. Hence, there is an increased need to develop systems which use biometrics efficiently and ensure the authentication is integral and effective. This paper aims to introduce the concept of using Electro Encephalogram (EEG), commonly known as brain waves, as a biometric. A wavelet based feature extraction method is proposed, that uses visual and auditory evoked potentials. The future scope, pros and cons of this biometric are analyzed next.

KW - EEG

KW - biometric

KW - brain wave

KW - evoked potentials

KW - pros and cons

KW - security

KW - wavelets

UR - http://www.scopus.com/inward/record.url?scp=84936797254&partnerID=8YFLogxK

U2 - 10.1109/ITNG.2015.27

DO - 10.1109/ITNG.2015.27

M3 - Conference contribution

AN - SCOPUS:84936797254

T3 - Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015

SP - 139

EP - 144

BT - Proceedings - 12th International Conference on Information Technology

A2 - Latifi, Shahram

A2 - Arai, Kohei

A2 - Carneiro, Glauco

A2 - Debnath, Narayan

A2 - Vieira Dias, Luiz Alberto

A2 - Hashemi, Ray

A2 - Minamoto, Teruya

A2 - Reddy, Yenumula

A2 - Saleem, Kashif

A2 - Shen, Fangyan

A2 - Thuemmler, Christoph

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th International Conference on Information Technology: New Generations, ITNG 2015

Y2 - 13 April 2015 through 15 April 2015

ER -

Sundararajan A, Pons A, Sarwat AI. A Generic Framework for EEG-Based Biometric Authentication. In Latifi S, Arai K, Carneiro G, Debnath N, Vieira Dias LA, Hashemi R, Minamoto T, Reddy Y, Saleem K, Shen F, Thuemmler C, editors, Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 139-144. 7113462. (Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015). doi: 10.1109/ITNG.2015.27

A Generic Framework for EEG-Based Biometric Authentication

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this