Lamar: A New Pseudorandom Number Generator Evolved by Means of Genetic Programming
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- @InProceedings{Lamenca-Martinez:PPSN:2006,
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author = "Carlos Lamenca-Martinez and
Julio Cesar Hernandez-Castro and Juan M. Estevez-Tapiador and
Arturo Ribagorda",
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title = "Lamar: A New Pseudorandom Number Generator Evolved by
Means of Genetic Programming",
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booktitle = "Parallel Problem Solving from Nature - PPSN IX",
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year = "2006",
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editor = "Thomas Philip Runarsson and Hans-Georg Beyer and
Edmund Burke and Juan J. Merelo-Guervos and
L. Darrell Whitley and Xin Yao",
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volume = "4193",
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pages = "850--859",
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series = "LNCS",
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address = "Reykjavik, Iceland",
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publisher_address = "Berlin",
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month = "9-13 " # sep,
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publisher = "Springer-Verlag",
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ISBN = "3-540-38990-3",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://ppsn2006.raunvis.hi.is/proceedings/202.pdf",
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DOI = "doi:10.1007/11844297_86",
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size = "10 pages",
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abstract = "Pseudorandom number generation is a key component of
many Computer Science algorithms, including
mathematical modelling, stochastic processes, Monte
Carlo simulations, and most cryptographic primitives
and protocols. To date, multiple approaches that use
Evolutionary Computation (EC) techniques have been
proposed for designing useful Pseudorandom Number
Generators (PRNGs) for certain non-cryptographic
applications. However, none of the proposals have been
secure nor efficient enough to be of interest for the
much more demanding crypto world. In this work, we
present a general scheme, which uses Genetic
Programming (GP), for the automatic design of
crypto-quality PRNGs by evolving highly nonlinear and
extremely efficient functions. A new PRNG named Lamar
and obtained using this scheme is proposed, whose C
code and preliminary security analysis are provided.",
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notes = "PPSN-IX",
- }
Genetic Programming entries for
Carlos Lamenca-Martinez
Julio Cesar Hernandez-Castro
Juan Manuel Estevez-Tapiador
D Arturo Ribagorda Garnacho
Citations