Published December 11, 2011
| Version v1
Conference paper
Noise-resisting ciphering based on a chaotic multi-stream pseudo-random number generator
- Creators
- Lozi, René
- Cherrier, Estelle
- Others:
- Laboratoire Jean Alexandre Dieudonné (JAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)
- Equipe SAFE - Laboratoire GREYC - UMR6072 ; Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC) ; Université de Caen Normandie (UNICAEN) ; Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN) ; Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN) ; Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN) ; Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)
Description
We propose a novel noise-resisting ciphering method resorting to a chaotic multi-stream pseudorandom number generator (denoted Cms-PRNG). This Cms-PRNG co-generates an arbitrarily large number of uncorrelated chaotic sequences. These cogenerated sequences are actually used in several steps of the ciphering process. Noisy transmission conditions are considered, with realistic assumptions. The efficiency of the proposed method for ciphering and deciphering is illustrated through numerical simulations based on a Cms-PRNG involving ten coupled chaotic sequences.
Abstract
International audience
Additional details
- URL
- https://hal.archives-ouvertes.fr/hal-00617051
- URN
- urn:oai:HAL:hal-00617051v1
- Origin repository
- UNICA