The Pseudorandom Number Generator Generation Method with Genetic Programming for Lightweight Devices

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@InProceedings{Koesemen:2018:UBMK,

• author = "Cem Koesemen and Omer Aydin and Gokhan Dalkilic",
• booktitle = "2018 3rd International Conference on Computer Science and Engineering (UBMK)",
• title = "The Pseudorandom Number Generator Generation Method with Genetic Programming for Lightweight Devices",
• year = "2018",
• pages = "17--21",
• abstract = "In this research, a genetic programming (GP) method is proposed for producing pseudorandom number generators (PRNG) for lightweight devices, especially wireless identification and sensing platform (WISP) family devices. These PRNGs are produced with genetic programming methods using bit-entropy and serial correlation coefficient calculation as the fitness function. Qualities of these PRNGs are tested with the NIST statistical test suite that is a comprehensive tool that evaluates the statistical quality of the output of given PRNG. In addition, a set of PRNG is generated with this GP method and the results are examined statistically.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/UBMK.2018.8566484",
• month = sep,
• notes = "Also known as \cite{8566484}",

}

Genetic Programming entries for Cem Koesemen Omer Aydin Gokhan Dalkilic

Citations