Predicting the Secret Parameters of a Chaotic Random Number Generator from Time Series

Salih Ergün

ICASSP 2019accepted0 citations

Predicting the Secret Parameters of a Chaotic Random Number Generator from Time Series

Abstract

A novel predicting system is proposed to find out the security weaknesses of a chaotic random number generator (RNG). Convergence of the predicting system is proved using auto-synchronization. Secret parameter of the target chaotic RNG is revealed where the public information are the design of the chaotic RNG and a scalar time series observed from the target chaotic system. Simulation and numerical results verifying the feasibility of the predicting system are given such that, next bit can be predicted while the same output bit sequence of the chaotic RNG can be regenerated.

BibTeX

@inproceedings{icassp2019_predictingthesec,
  title = {Predicting the Secret Parameters of a Chaotic Random Number Generator from Time Series},
  author = {Salih Ergün},
  booktitle = {ICASSP 2019},
  year = {2019}
}