- author = "Cesar Estebanez and Julio Cesar Hernandez-Castro and Arturo Ribagorda and Pedro Isasi",
- title = "Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming",
- booktitle = "Parallel Problem Solving from Nature - PPSN IX",
- year = "2006",
- editor = "Thomas Philip Runarsson and Hans-Georg Beyer and Edmund Burke and Juan J. Merelo-Guervos and L. Darrell Whitley and Xin Yao",
- volume = "4193",
- pages = "818--827",
- series = "LNCS",
- address = "Reykjavik, Iceland",
- publisher_address = "Berlin",
- month = "9-13 " # sep,
- publisher = "Springer-Verlag",
- ISBN = "3-540-38990-3",
- keywords = "genetic algorithms, genetic programming, genetic improvement",
-
DOI = "
doi:10.1007/11844297_83",
- size = "10 pages",
- abstract = "The design of non-cryptographic hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this paper, we use the Genetic Programming paradigm to evolve collision free and fast hash functions. For achieving robustness against collision we use a fitness function based on a non-linearity concept, producing evolved hashes with a good degree of Avalanche Effect. The other main issue, efficiency, is assured by using only very fast operators (both in hardware and software) and by limiting the number of nodes. Using this approach, we have created a new hash function, which we call gp-hash, that is able to outperform a set of five human-generated, widely-used hash functions.",
-
notes = "PPSN-IX
cites \cite{Jenkins:1997:AAH}",
