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Title:Algoritmi po vzorih iz narave za razbijanje gesel : magistrsko delo
Authors:ID Nemet, Urška (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Brezočnik, Lucija (Comentor)
Files:.pdf MAG_Nemet_Urska_2020.pdf (713,45 KB)
MD5: 72C936100778D92289424FF005994805
PID: 20.500.12556/dkum/6d6a5829-8c57-4e66-99f5-6c994c02d5da
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Magistrsko delo obravnava kriptoanalizo Vigènerove šifre z algoritmom diferencialne evolucije in algoritmom kresnic, ki se uvrščata med algoritme po vzorih iz narave. V magistrskem delu opisujemo kriptoanalizo, Vigènerovo šifro, algoritme po vzorih iz narave ter metodo za kriptoanalizo, ki smo jo predlagali v magistrskem delu. Ugotovili smo, da sta algoritem diferencialne evolucije in algoritem kresnic primerna za kriptoanalizo Vigenèrove šifre. Rezultati so pokazali, da je algoritem diferencialne evolucije uspešnejši od algoritma kresnic. Ugotovili smo tudi, da se uspešnost kriptoanalize zmanjšuje z večanjem dolžine ključa.
Keywords:algoritmi po vzorih iz narave, kriptoanaliza, Vigenèrova šifra
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[U. Nemet]
Year of publishing:2020
Number of pages:[VI], 34 f.
PID:20.500.12556/DKUM-76578 New window
UDC:004.8.021:004.056(043.2)
COBISS.SI-ID:27336451 New window
NUK URN:URN:SI:UM:DK:ZBAAR0WC
Publication date in DKUM:03.07.2020
Views:1138
Downloads:148
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:10.06.2020

Secondary language

Language:English
Title:Nature-Inspired algorithms for password cracking
Abstract:Master's thesis deals with cryptanalysis of Vigenère cipher using differential evolution algorithm and firefly algorithm, both belonging to nature-inspired algorithms. In the master's thesis, we describe what cryptoanalysis is, Vigenère cipher, nature-inspired algorithms, and a method we proposed in the thesis. We found out that the differential evolution algorithm and firefly algorithm are suitable for the cryptanalysis of Vigenère cipher. Results showed that the differential evolution algorithm is more successful than the firefly algorithm. We found out also that cryptanalysis success decreases with increased key length.
Keywords:Cryptanalysis, nature-inspired algorithms, Vigenère Cipher


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