Combining Cryptography with EEG Biometrics
Joint Authors
Damaševičius, Robertas
Woźniak, Marcin
Maskeliūnas, Rytis
Kazanavičius, Egidijus
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Damaševičius, Robertas& Maskeliūnas, Rytis& Kazanavičius, Egidijus& Woźniak, Marcin. 2018. Combining Cryptography with EEG Biometrics. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1130610
Modern Language Association (MLA)
Damaševičius, Robertas…[et al.]. Combining Cryptography with EEG Biometrics. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1130610
American Medical Association (AMA)
Damaševičius, Robertas& Maskeliūnas, Rytis& Kazanavičius, Egidijus& Woźniak, Marcin. Combining Cryptography with EEG Biometrics. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1130610
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130610