Prof. Ing. Lukáš Sekanina, Ph.D.

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.

Publication language:

english

Original title:

Multiobjective Evolution of Hash Functions for High Speed Networks

Title (cs):

Více-kriteriální návrh hašovacích funkcí pro vysokorychlostní sítě

Pages:

1533-1540

Proceedings:

Proceedings of the 2017 IEEE Congress on Evolutionary Computation

Conference:

IEEE Congress on Evolutionary Computation 2017

Place:

San Sebastian, ES

Year:

2017

ISBN:

978-1-5090-4600-3

Publisher:

IEEE Computer Society

Files:

Keywords

NSGA-II, linear genetic programming, hash function, network

Annotation

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.

BibTeX:

@INPROCEEDINGS{
   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},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11325}
}

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Prof. Ing. Lukáš Sekanina, Ph.D.