Kryptoanalýza symetrických šifrovacích algoritmů s využitím symbolické regrese a genetického programování

This diploma thesis deals with the cryptanalysis of symmetric encryption algorithms. The aim of this thesis is to show different point of view on this issues. The dissimilar way, compared to the recent methods, lies in the use of the power of evolutionary principles which are in the cryptanalytic system applied with help of genetic programming. In the theoretical part the cryptography, cryptanalysis of symmetric encryption algorithms and genetic programming are described. On the ground of the obtained information a project of cryptanalytic system which uses evolutionary principles is represented. Practical part deals with implementation of symmetric encrypting algorithm, linear cryptanalysis and simulation instrument of genetic programming. The end of the thesis represents experiments together with projected cryptanalytic system which uses genetic programming and evaluates reached results.

Cryptography, information security, symmetric encryption algorithms, brute force attack, linear cryptanalysis, differential cryptanalysis, artificial intelligence, machine learning, genetic programming, automatically defined functions, fitness function, symbolic regression