Abstract
In this study, cryptanalysis of a non-equilibrium point chaotic oscillator based random number generator (RNG) that developed as a high security authentication tool for internet banking systems is presented. The security vulnerabilities of the algorithm that generates random bits by using the digits of floating-point numbers have been analyzed and the convergence has been shown by using the master slave synchronization scheme. Simulation and numerical results of the proposed method confirm that both next bit and output bit stream are predictable. Therefore, producing random numbers by using such an algorithm for the authentication tool is very unsecure and master slave synchronization cryptanalysis method is useful to validate chaotic systems.
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