Name
Abstract | ||
|---|---|---|
We have proposed a hypothesis on the origin of randomness in the chaos time series of a chaos neural network (CNN) according to empirical results. An improved pseudo-random number generator (PRNG) has been proposed on the basis of the hypothesis and contamination mechanisms. PRNG has been implemented also with the fixed-point arithmetic (Q5.26). The result is expected to apply to embedded systems; for example the application of protecting personal information in smartphone and other mobile devices. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-42007-3_51 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Chaos,Pseudo-random number,Chaos neural network,Cipher | Cipher,Computer science,Theoretical computer science,Mobile device,Personally identifiable information,Artificial neural network,Pseudorandom number generator,Randomness | Conference |
Volume | ISSN | Citations |
9799 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hitoaki Yoshida | 1 | 0 | 2.70 |
| Takeshi Murakami | 2 | 0 | 0.68 |
| Taiki Inao | 3 | 0 | 0.34 |
| Satoshi Kawamura | 4 | 25 | 4.82 |