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True Random Number Generation from Bioelectrical and Physical Signals
Joint Authors
Arslan Tuncer, Seda
Kaya, Turgay
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
It is possible to generate personally identifiable random numbers to be used in some particular applications, such as authentication and key generation.
This study presents the true random number generation from bioelectrical signals like EEG, EMG, and EOG and physical signals, such as blood volume pulse, GSR (Galvanic Skin Response), and respiration.
The signals used in the random number generation were taken from BNCIHORIZON2020 databases.
Random number generation was performed from fifteen different signals (four from EEG, EMG, and EOG and one from respiration, GSR, and blood volume pulse datasets).
For this purpose, each signal was first normalized and then sampled.
The sampling was achieved by using a nonperiodic and chaotic logistic map.
Then, XOR postprocessing was applied to improve the statistical properties of the sampled numbers.
NIST SP 800-22 was used to observe the statistical properties of the numbers obtained, the scale index was used to determine the degree of nonperiodicity, and the autocorrelation tests were used to monitor the 0-1 variation of numbers.
The numbers produced from bioelectrical and physical signals were successful in all tests.
As a result, it has been shown that it is possible to generate personally identifiable real random numbers from both bioelectrical and physical signals.
American Psychological Association (APA)
Arslan Tuncer, Seda& Kaya, Turgay. 2018. True Random Number Generation from Bioelectrical and Physical Signals. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131939
Modern Language Association (MLA)
Arslan Tuncer, Seda& Kaya, Turgay. True Random Number Generation from Bioelectrical and Physical Signals. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1131939
American Medical Association (AMA)
Arslan Tuncer, Seda& Kaya, Turgay. True Random Number Generation from Bioelectrical and Physical Signals. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131939
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131939