Cargando…
True Random Number Generation from Bioelectrical and Physical Signals
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...
Autores principales: | Arslan Tuncer, Seda, Kaya, Turgay |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051287/ https://www.ncbi.nlm.nih.gov/pubmed/30065779 http://dx.doi.org/10.1155/2018/3579275 |
Ejemplares similares
-
Human Psychological Disorder towards Cryptography: True Random Number Generator from EEG of Schizophrenics and Its Application in Block Encryption's Substitution Box
por: Khan, Muhammad Fahad, et al.
Publicado: (2022) -
DNA synthesis for true random number generation
por: Meiser, Linda C., et al.
Publicado: (2020) -
A flexible and stretchable bionic true random number generator
por: Wan, Yongbiao, et al.
Publicado: (2022) -
Random-telegraph-noise-enabled true random number generator for hardware security
por: Brown, James, et al.
Publicado: (2020) -
Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
por: Cao, Yuan, et al.
Publicado: (2022)