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 |
---|---|
Pages | 470-474 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2014 Sep 29 |
Event | 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan Duration: 2014 Aug 31 → 2014 Sep 4 |
Conference
Conference | 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 |
---|---|
Country/Territory | Japan |
City | Kitakyushu |
Period | 14/8/31 → 14/9/4 |
Keywords
- Biometric methods
- Electroencephalogram
- Random number generator
ASJC Scopus subject areas
- Information Systems