Multiobjective Evolution of Hash Functions for High Speed Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126384" target="_blank" >RIV/00216305:26230/17:PU126384 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11325" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11325</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2017.7969485" target="_blank" >10.1109/CEC.2017.7969485</a>
Alternative languages
Result language
angličtina
Original language name
Multiobjective Evolution of Hash Functions for High Speed Networks
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-08565S" target="_blank" >GA16-08565S: Advancing cryptanalytic methods through evolutionary computing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2017 IEEE Congress on Evolutionary Computation
ISBN
978-1-5090-4600-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1533-1540
Publisher name
IEEE Computer Society
Place of publication
San Sebastian
Event location
Donostia - San Sebastián
Event date
Jun 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426929700198