Synthetic and real data sets for benchmarking non-cryptographic hash functions

The overall assessment of non-cryptographic functions is very complex and there is not a widely used benchmark. These data have been collected and created as a benchmark for testing non-cryptographic hash functions. It is made up of eight dataset which comes from two different groups, real and synth...

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Detalles Bibliográficos
Autores principales: Saez, Yago, Estebanez, Cesar, Quintana, David, Isasi, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582058/
https://www.ncbi.nlm.nih.gov/pubmed/31245512
http://dx.doi.org/10.1016/j.dib.2019.104046
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author Saez, Yago
Estebanez, Cesar
Quintana, David
Isasi, Pedro
author_facet Saez, Yago
Estebanez, Cesar
Quintana, David
Isasi, Pedro
author_sort Saez, Yago
collection PubMed
description The overall assessment of non-cryptographic functions is very complex and there is not a widely used benchmark. These data have been collected and created as a benchmark for testing non-cryptographic hash functions. It is made up of eight dataset which comes from two different groups, real and synthetic data sources. The objective when selecting and generating the data has been redundancy and structures present in real-world scenarios. These data have been used for benchmarking non-cryptographic hash functions in [1] and [2].
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spelling pubmed-65820582019-06-26 Synthetic and real data sets for benchmarking non-cryptographic hash functions Saez, Yago Estebanez, Cesar Quintana, David Isasi, Pedro Data Brief Computer Science The overall assessment of non-cryptographic functions is very complex and there is not a widely used benchmark. These data have been collected and created as a benchmark for testing non-cryptographic hash functions. It is made up of eight dataset which comes from two different groups, real and synthetic data sources. The objective when selecting and generating the data has been redundancy and structures present in real-world scenarios. These data have been used for benchmarking non-cryptographic hash functions in [1] and [2]. Elsevier 2019-05-22 /pmc/articles/PMC6582058/ /pubmed/31245512 http://dx.doi.org/10.1016/j.dib.2019.104046 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Saez, Yago
Estebanez, Cesar
Quintana, David
Isasi, Pedro
Synthetic and real data sets for benchmarking non-cryptographic hash functions
title Synthetic and real data sets for benchmarking non-cryptographic hash functions
title_full Synthetic and real data sets for benchmarking non-cryptographic hash functions
title_fullStr Synthetic and real data sets for benchmarking non-cryptographic hash functions
title_full_unstemmed Synthetic and real data sets for benchmarking non-cryptographic hash functions
title_short Synthetic and real data sets for benchmarking non-cryptographic hash functions
title_sort synthetic and real data sets for benchmarking non-cryptographic hash functions
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582058/
https://www.ncbi.nlm.nih.gov/pubmed/31245512
http://dx.doi.org/10.1016/j.dib.2019.104046
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