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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:
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
Descripción
Sumario: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].