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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Katedra informatiky a počítačů (31400)
Title:
Cryptography based on neural network
Citace
Volná, E., Kotyrba, M., Kocian, V. a Janošek, M. Cryptography based on neural network.
In:
ECMS 2012.
Germany: European concil for Modelling and Simulation, 2012. European concil for Modelling and Simulation, 2012. s. 386-391. ISBN 978-0-9564944-4-3.
Subtitle
Publication year:
2012
Obor:
Informatika
Number of pages:
6
Page from:
386
Page to:
391
Form of publication:
Tištená verze
ISBN code:
978-0-9564944-4-3
ISSN code:
Proceedings title:
ECMS 2012
Proceedings:
Mezinárodní
Publisher name:
European concil for Modelling and Simulation
Place of publishing:
Germany
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
26th European Conference on Modellingand Simulation, ECMS 2012
Místo konání konference:
Koblenz
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
Cryptography key, encryption system, encryption algorithm, artificial neural network
Annotation in original language:
The goal of cryptography is to make it impossible to take a cipher and reproduce the original plain text without the corresponding key. With good cryptography, your messages are encrypted in such a way that brute force attacks against the algorithm or the key are all but impossible. Good cryptography gets its security by using incredibly long keys and using encryption algorithms that are resistant to other form attack. The neural net application represents a way of the next development in good cryptography. This paper deals with using neural network in cryptography, e.g. designing such neural network that would be practically used in the area of cryptography. This paper also includes an experimental emonstration.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/12:A13014ZR
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