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Quantifying Studies of (Pseudo) Random Number Generation for Cryptography

Andrea Roeck 1 
Abstract : In this work, we consider random number generators for cryptography. On the one hand, we studied generators like HAVEGE, which produce the random numbers based on unpredictable events. On the other hand, we examined stream ciphers. They can be seen as pseudo-random number generators which produce the keystream starting from a short initial sequence depending on the key and an initial vector (IV). In particular, we studied the stream cipher Dragon as well as a model using random functions for updating its inner state and which was inspired by an attack on the stream cipher MICKEY. Finally, we examined several aspects of Feedback with Carry Shift Registers (FCSR) which are used in the stream cipher F-FCSR.
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Submitted on : Thursday, October 29, 2009 - 9:56:38 AM
Last modification on : Friday, January 21, 2022 - 3:14:49 AM
Long-term archiving on: : Tuesday, October 16, 2012 - 1:00:09 PM


  • HAL Id : tel-00428553, version 1



Andrea Roeck. Quantifying Studies of (Pseudo) Random Number Generation for Cryptography. Other [cs.OH]. Ecole Polytechnique X, 2009. English. ⟨tel-00428553⟩



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