A Generic Framework for EEG-Based Biometric Authentication

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.

[1]  F. Tenore,et al.  Low-cost electroencephalogram (EEG) based authentication , 2011, 2011 5th International IEEE/EMBS Conference on Neural Engineering.

[2]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[3]  Markus Schatten,et al.  Towards a General Definition of Biometric Systems , 2009, ArXiv.

[4]  Y. Singh,et al.  Bioelectrical Signals as Emerging Biometrics: Issues and Challenges , 2012 .

[5]  Reema Bhagtani,et al.  BIOMETRICS : A FURTHER ECHELON OF SECURITY Siddhesh Angle , , 2005 .

[6]  Jelena Kovacevic,et al.  Adaptive complex wavelet-based filtering of EEG for extraction of evoked potential responses , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[7]  André Zúquete,et al.  Biometric Authentication with Electroencephalograms: Evaluation of Its Suitability Using Visual Evoked Potentials , 2010, BIOSTEC.

[8]  Marios Poulos,et al.  Neural network based person identification using EEG features , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[9]  Stephen D. Wolthusen,et al.  Simulating the Influences of Aging and Ocular Disease on Biometric Recognition Performance , 2009, ICB.

[10]  Maryam Ahmadi,et al.  Automatic denoising of single-trial evoked potentials , 2013, NeuroImage.

[11]  Jordi Solé i Casals,et al.  EEG based user recognition using BUMP modelling , 2013, 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG).

[12]  Wanli Ma,et al.  Motor Imagery EEG-Based Person Verification , 2013, IWANN.

[13]  Ramaswamy Palaniappan,et al.  Biometric Paradigm Using Visual Evoked Potential , 2009 .

[14]  Tien Pham,et al.  A Study on the Feasibility of Using EEG Signals for Authentication Purpose , 2013, ICONIP.

[15]  David A. Leopold,et al.  Single-trial evoked potential estimation using wavelets , 2007, Comput. Biol. Medicine.

[16]  R Quian Quiroga,et al.  Wavelet Transform in the analysis of the frequency composition of evoked potentials. , 2001, Brain research. Brain research protocols.

[17]  Christoph Busch.  Facing the future of biometrics , 2006, EMBO reports.

[18]  Jian-feng Hu,et al.  Biometric System Based on EEG Signals by Feature Combination , 2010, 2010 International Conference on Measuring Technology and Mechatronics Automation.

[19]  T. Picton,et al.  Evoked potential audiometry. , 1976, The Journal of otolaryngology.

[20]  Joseph A. O'Sullivan,et al.  ECG biometrics: A robust short-time frequency analysis , 2010, 2010 IEEE International Workshop on Information Forensics and Security.

[21]  Joceli Mayer,et al.  Image feature extraction for application of biometric identification of iris - a morphological approach , 2003, 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003).

[22]  Ramaswamy Palaniappan,et al.  Two-Stage Biometric Authentication Method Using Thought Activity Brain Waves , 2008, Int. J. Neural Syst..

[23]  P Ungan,et al.  Combined dynamics of EEG and evoked potentials , 1979, Biological Cybernetics.

[24]  M. Teplan.  FUNDAMENTALS OF EEG MEASUREMENT , 2002 .

[25]  D. Creel,et al.  Asymmetric visually evoked potentials in human albinos: evidence for visual system anomalies. , 1974, Investigative ophthalmology.

[26]  Anil K. Jain,et al.  Biometric Template Security , 2008, EURASIP J. Adv. Signal Process..

[27]  Charles Wang,et al.  I Think, Therefore I Am: Usability and Security of Authentication Using Brainwaves , 2013, Financial Cryptography Workshops.

[28]  Danilo P. Mandic,et al.  Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? , 2005, ICANN.

[29]  José del R. Millán,et al.  Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  Danilo P. Mandic,et al.  EEG Based Biometric Framework for Automatic Identity Verification , 2007, J. VLSI Signal Process..

[31]  Chris Roberts,et al.  Biometric attack vectors and defences , 2007, Comput. Secur..

[32]  Pekcan Ungan,et al.  Combined dynamics of EEG and evoked potentials , 1979, Biological Cybernetics.