Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134946" target="_blank" >RIV/00216305:26230/19:PU134946 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11919/" target="_blank" >https://www.fit.vut.cz/research/publication/11919/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3319619.3321925" target="_blank" >10.1145/3319619.3321925</a>
Alternative languages
Result language
angličtina
Original language name
Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods
Original language description
In this paper we search for Boolean functions with properties that make them useful in cryptography for preventing side-channel attacks. To find these functions we use three genetic programming methods, including linear genetic programming, which has not been used to design these functions before. Our results aim to provide a fair comparison between the methods, by searching for each method's best performing parameters, and provide an insight into how well they cope with growing number of function inputs and demand for higher correlation immunity.
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/GA19-10137S" target="_blank" >GA19-10137S: Designing and exploiting libraries of approximate circuits</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion
ISBN
978-1-4503-6748-6
ISSN
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e-ISSN
—
Number of pages
2
Pages from-to
342-343
Publisher name
Association for Computing Machinery
Place of publication
Praha
Event location
Praha
Event date
Jul 13, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000538328100171