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

Yago Saez; Cesar Estebanez; David Quintana; Pedro Isasi

doi:10.1016/j.dib.2019.104046

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

Data Brief. 2019 May 22:25:104046. doi: 10.1016/j.dib.2019.104046. eCollection 2019 Aug.

Authors

Yago Saez¹, Cesar Estebanez², David Quintana¹, Pedro Isasi¹

Affiliations

¹ Universidad Carlos III de Madrid, Computer Science Department, Avda. de la Universidad 30, Leganés, Madrid, Spain.
² Tuenti, Software Development Department, Madrid, Spain.

Abstract

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].

Keywords: Benchmark; Hash; Hashing datasets; Non-cryptographic hash functions.