Combining Cryptography with EEG Biometrics.
Robertas Damaševičius,Rytis Maskeliūnas,Egidijus Kazanavičius,Marcin Woźniak +3 more
TLDR
This work presents a biometric authentication method based on the discrete logarithm problem and Bose-Chaudhuri-Hocquenghem (BCH) codes, performs its security analysis, and demonstrates its security characteristics.Abstract:
Cryptographic frameworks depend on key sharing for ensuring security of data. While the keys in cryptographic frameworks must be correctly reproducible and not unequivocally connected to the identity of a user, in biometric frameworks this is different. Joining cryptography techniques with biometrics can solve these issues. We present a biometric authentication method based on the discrete logarithm problem and Bose-Chaudhuri-Hocquenghem (BCH) codes, perform its security analysis, and demonstrate its security characteristics. We evaluate a biometric cryptosystem using our own dataset of electroencephalography (EEG) data collected from 42 subjects. The experimental results show that the described biometric user authentication system is effective, achieving an Equal Error Rate (ERR) of 0.024.read more
Citations
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Comparison between Concentration and Immersion Based on EEG Analysis.
TL;DR: In this study, Concentration and immersion states were induced to analyze the electroencephalography (EEG) changes during these states to imply diagnostic capabilities of various other mental states.
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Validation of Electroencephalographic Recordings Obtained with a Consumer-Grade, Single Dry Electrode, Low-Cost Device: A Comparative Study.
Hector Rieiro,Hector Rieiro,Carolina Diaz-Piedra,Carolina Diaz-Piedra,José Morales,Andrés Catena,Samuel Romero,Joaquín Roca-González,Luis J. Fuentes,Leandro L. Di Stasi +9 more
TL;DR: Overall, the NeuroSky MindWave is noise-limited, but provides stable recordings even through long periods of time, which would be of adequate quality compared to that of conventional wet electrode EEG devices, except for a potential calibration error and spectral differences at low frequencies.
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Development of a Modular Board for EEG Signal Acquisition.
Tomas Uktveris,Vacius Jusas +1 more
TL;DR: The design and evaluation of a compact, modular, battery powered, conventional EEG signal acquisition board based on an ADS1298 analog front-end chip is presented and can be qualified as a low-cost precision cEEG research device.
Journal ArticleDOI
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Arafat Rahman,Muhammad E. H. Chowdhury,Amith Khandakar,Serkan Kiranyaz,Kh Shahriya Zaman,Mamun Bin Ibne Reaz,Mohammad Tariqul Islam,Maymouna Ezeddin,Muhammad Abdul Kadir +8 more
TL;DR: In this article, a multimodal biometric system combining EEG and keystroke dynamics is proposed, which can be considered secure and reliable for any kind of biometric identification and authentication.
Journal ArticleDOI
Secure ear biometrics using circular kernel principal component analysis, Chebyshev transform hashing and Bose–Chaudhuri–Hocquenghem error-correcting codes
L. Olanrewaju,Oyediran Oyebiyi,Sanjay Misra,Sanjay Misra,Rytis Maskeliunas,Robertas Damasevicius +5 more
TL;DR: This work applies iterative closest point and kernel principal component analysis with circular kernel for feature extraction while using a circular kernel function, combined with empirical mode decomposition into intrinsic mode functions perceptual hashing using and fast Chebyshev transform, and a secure authentication approach that exploits the discrete logarithm problem and Bose–Chaudhuri–Hocquenghem error-correcting codes to generate 128-bit crypto keys.
References
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