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Bc. Radovan Lapár

Master's thesis

Hluboké učení v kryptografii

Deep learning in cryptography
Abstract:
Táto práca sa zameriava na použitie hlbokého učenia v kryptografii. Obsahuje analýzu viac ako 20 rôznych zdrojov RSA kryptografických knižníc a kariet a vychýlenie v procese generovania prvočísel. Predkladá priebeh práce s daným datasetom a implementuje dva rozdielne klasifikátory, ktoré sú následne porovnané s tradičnými metódami, ktoré sa už v tejto oblasti používajú.
Abstract:
This thesis focuses on the study of deep learning in cryptography. It includes the analysis of more than 20 different sources of RSA cryptographic libraries and cards and the bias introduced in the process of primes generation. It presents the flow of working with given dataset and implements two different classifiers, which are then compared to the traditional methods already used in the field.
 

Keywords

public key classification neural networks deep learning metacentrum RSA cryptography tensorflow
 
Language used: English
Date on which the thesis was submitted / produced: 11. 12. 2018
Identifier: https://is.muni.cz/th/ckklb/

Thesis defence

  • Date of defence: 8. 2. 2019
  • Supervisor: doc. RNDr. Tomáš Brázdil, Ph.D.
  • Reader: Mgr. Adam Janovský

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Masaryk University

Faculty of Informatics

Master programme / field:
Informatics / Theoretical Informatics

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