National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Cryptanalysis of ciphers used in GSM phones
Barboriková, Jana ; Tůma, Jiří (advisor) ; Kechlibar, Marian (referee)
The aim of this thesis is to introduce the family of A5 algorithm which is used in data encryption and decryption in GSM phones. It is focused on real time cryptanalysis of the stream cipher A5/1. It describes in detail the known plaintext attack published by A. Biryukov, A. Shamir and D. Wagner. Both the attack and the cipher are implemented. The implementation proves that the preprocessing stage of the attack is very time consuming, but the actual attack can be carried out in real time on a single PC. Then the problem of finding a good statistical model for the process of generating tree of predecessors of internal states of A5/1 is studied. We present reasons why the singletype Galton-Watson process is not suitable for the problem and introduce a multitype Galton-Watson process and a macro process. The models are applied to the process of generating predecessors and their predictions are compared with experimental data.
Cryptanalysis of ciphers used in GSM phones
Barboriková, Jana ; Tůma, Jiří (advisor) ; Kechlibar, Marian (referee)
The aim of this thesis is to introduce the family of A5 algorithm which is used in data encryption and decryption in GSM phones. It is focused on real time cryptanalysis of the stream cipher A5/1. It describes in detail the known plaintext attack published by A. Biryukov, A. Shamir and D. Wagner. Both the attack and the cipher are implemented. The implementation proves that the preprocessing stage of the attack is very time consuming, but the actual attack can be carried out in real time on a single PC. Then the problem of finding a good statistical model for the process of generating tree of predecessors of internal states of A5/1 is studied. We present reasons why the singletype Galton-Watson process is not suitable for the problem and introduce a multitype Galton-Watson process and a macro process. The models are applied to the process of generating predecessors and their predictions are compared with experimental data.

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