Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/1408
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tan, SK | - |
dc.contributor.author | Guan, SU | - |
dc.date.accessioned | 2007-12-14T15:29:08Z | - |
dc.date.available | 2007-12-14T15:29:08Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | Electronic version of an article published as International Journal of Modern Physics C (IJMPC), 18(8): 1293 - 1302, Aug 2007 | en |
dc.identifier.issn | 0096-3003 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/1408 | - |
dc.identifier.uri | http://www.worldscinet.com/ijmpc/ijmpc.shtml | en |
dc.description.abstract | This paper presents a new approach to designing pseudorandom number generators based on cellular automata. Current cellular automata designs either focus on i) ensuring desirable sequence properties such as maximum length period, balanced distribution of bits and uniform distribution of n-bit tuples etc. or ii) ensuring the generated sequences pass stringent randomness tests. In this work, important design patterns are first identified from the latter approach and then incorporated into cellular automata such that the desirable sequence properties are preserved like in the former approach. Preliminary experiment results show that the new cellular automata designed have potential in passing all DIEHARD tests. | en |
dc.format.extent | 110468 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | World Scientific Publishing Company | en |
dc.subject | Cellular automata | en |
dc.subject | Ppseudorandom number generation | - |
dc.subject | Maximum length period | - |
dc.subject | Randomness test | - |
dc.title | A transformation sequencing approach to pseudorandom number generation | en |
dc.type | Research Paper | en |
dc.identifier.doi | http://dx.doi.org/10.1142/S0129183107011327 | - |
Appears in Collections: | Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
A Transformation Sequencing Approach to PRNG.pdf | 107.88 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.