Design of a Novel Feed-forward Model

Abstract

Feed-forward model is a basic pseudo random sequence generator (PRSG) using in stream cipher. A feed-forward model is constructed. Inversion attack on feed-forward model is analysed and detailed inversion attack algorithms and complexity of these algorithms are given, design advice on being resistant to inversion attack is presented on the basis of complexity analysis. The random attributions of the generated number are test with regards to period, balance, correlation and run property. And the result shows that the random number generator generates numbers with very good randomness.