The Pseudorandom Number Generator Generation Method with Genetic Programming for Lightweight Devices
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Date
2018
Authors
Cem Kösemen
Ömer Aydin
Gokhan Dalkiltc
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
6
OpenAIRE Views
8
Publicly Funded
No
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Average
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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. © 2019 Elsevier B.V. All rights reserved.
Description
Keywords
Genetic Programming, Pseudo Random Number Generation, Radio Frequency Identification Devices, Security, Wireless Identification And Sensing Platform, Genetic Algorithms, Genetic Programming, Number Theory, Radio Frequency Identification (rfid), Lightweight Devices, Pseudo Random Number Generations, Pseudo Random Number Generators, Radio Frequency Identification Devices, Security, Serial Correlation, Statistical Quality, Wireless Identification And Sensing Platforms, Random Number Generation, Genetic algorithms, Genetic programming, Number theory, Radio frequency identification (RFID), Lightweight devices, Pseudo random number generations, Pseudo random number generators, Radio frequency identification devices, security, Serial correlation, Statistical quality, Wireless identification and sensing platforms, Random number generation, Generation, Genetic Programming, Security, Radio Frequency Identification Devices, Wireless Identification and Sensing Platform, Pseudo Random Number Generation, Pseudo Random Number
Fields of Science
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
2
Source
3rd International Conference on Computer Science and Engineering UBMK 2018
Volume
Issue
Start Page
17
End Page
21
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Scopus : 1
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1
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Web of Science™ Citations
2
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