Quantifying Studies of (Pseudo) Random Number Generation for Cryptography
Year: 2009
Type: dissertation
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.
Authors: RÖCK, Andrea, SENDRIER, Nicolas
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2615869418