Abstract
In this paper, we propose a new encoding method for converting an electroencephalogram (EEG) signal into binary sequences which use for supplying the random numbers. We focus on low-cost EEG signal since it can be used in real applications that require true random number generator, such as gaming, gambling, and some complex model simulations. Our encoding method uses fluctuations that lie in EEG data due to noise in biometric measurements by keeping the least significant digits of real EEG sample value and then convert this value into a binary sequence. The generated binary sequences have pass most of all statistical test suite of NIST with success rate of 99.47 percent.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 470-474 |
| Number of pages | 5 |
| ISBN (Print) | 9781479941735 |
| DOIs | |
| Publication status | Published - 2014 Sep 29 |
| Event | 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu Duration: 2014 Aug 31 → 2014 Sep 4 |
Other
| Other | 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 |
|---|---|
| City | Kitakyushu |
| Period | 14/8/31 → 14/9/4 |
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Keywords
- Biometric methods
- Electroencephalogram
- Random number generator
ASJC Scopus subject areas
- Information Systems
Cite this
Using a low-cost electroencephalogram (EEG) directly as random number generator. / Petchlert, Bhanupong; Hasegawa, Hiroshi.
Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 470-474 6913344.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Using a low-cost electroencephalogram (EEG) directly as random number generator
AU - Petchlert, Bhanupong
AU - Hasegawa, Hiroshi
PY - 2014/9/29
Y1 - 2014/9/29
N2 - In this paper, we propose a new encoding method for converting an electroencephalogram (EEG) signal into binary sequences which use for supplying the random numbers. We focus on low-cost EEG signal since it can be used in real applications that require true random number generator, such as gaming, gambling, and some complex model simulations. Our encoding method uses fluctuations that lie in EEG data due to noise in biometric measurements by keeping the least significant digits of real EEG sample value and then convert this value into a binary sequence. The generated binary sequences have pass most of all statistical test suite of NIST with success rate of 99.47 percent.
AB - In this paper, we propose a new encoding method for converting an electroencephalogram (EEG) signal into binary sequences which use for supplying the random numbers. We focus on low-cost EEG signal since it can be used in real applications that require true random number generator, such as gaming, gambling, and some complex model simulations. Our encoding method uses fluctuations that lie in EEG data due to noise in biometric measurements by keeping the least significant digits of real EEG sample value and then convert this value into a binary sequence. The generated binary sequences have pass most of all statistical test suite of NIST with success rate of 99.47 percent.
KW - Biometric methods
KW - Electroencephalogram
KW - Random number generator
UR - http://www.scopus.com/inward/record.url?scp=84918537848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84918537848&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2014.100
DO - 10.1109/IIAI-AAI.2014.100
M3 - Conference contribution
AN - SCOPUS:84918537848
SN - 9781479941735
SP - 470
EP - 474
BT - Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -