Faculty of Information Technology, BUT

Publication Details

Multiobjective Evolution of Hash Functions for High Speed Networks

GROCHOL David and SEKANINA Lukáš. Multiobjective Evolution of Hash Functions for High Speed Networks. In: Proceedings of the 2017 IEEE Congress on Evolutionary Computation. San Sebastian: IEEE Computer Society, 2017, pp. 1533-1540. ISBN 978-1-5090-4600-3.
Czech title
Více-kriteriální návrh hašovacích funkcí pro vysokorychlostní sítě
Type
conference paper
Language
english
Authors
Keywords
NSGA-II, linear genetic programming, hash function, network
Abstract
Hashing is a critical function in capturing and analysis of network flows as its quality and execution time influences the maximum throughput of network monitoring devices. In this paper, we propose a multi-objective linear genetic programming approach to evolve fast and high-quality hash functions for common processors. The search algorithm simultaneously optimizes the quality of hashing and the execution time. As it is very time consuming to obtain the real execution time for a candidate solution on a particular processor, the execution time is estimated in the fitness function. In order to demonstrate the superiority of the proposed approach, evolved hash functions are compared with hash functions available in the literature using real-world network data.
Published
2017
Pages
1533-1540
Proceedings
Proceedings of the 2017 IEEE Congress on Evolutionary Computation
Conference
IEEE Congress on Evolutionary Computation 2017, Donostia - San Sebastián, ES
ISBN
978-1-5090-4600-3
Publisher
IEEE Computer Society
Place
San Sebastian, ES
DOI
BibTeX
@INPROCEEDINGS{FITPUB11325,
   author = "David Grochol and Luk\'{a}\v{s} Sekanina",
   title = "Multiobjective Evolution of Hash Functions for High Speed Networks",
   pages = "1533--1540",
   booktitle = "Proceedings of the 2017 IEEE Congress on Evolutionary Computation",
   year = 2017,
   location = "San Sebastian, ES",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-5090-4600-3",
   doi = "10.1109/CEC.2017.7969485",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11325"
}
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