Secure Communication Based on Fractional Chaotic System by a Novel Robust Filter Algorithm

This study is devoted to developing a chaotic secure communication system based on the fractional model by designing a novel fractional filter. The complexity of fractional-order systems is exploited to increase security. Channel noise and disturbance can impress or even disturb the received data. We chose this particular apparatus on account of the fact that the proposed filter can preciously estimate the fractional-order chaotic states with regard to the disturbance in a noisy environment, which results in receiving data precisely. This filter is applied to a fractional chaotic Lorenz system to illustrate the advantages of the proposed filter in state estimation of fractional chaotic systems and decrypting data from chaotic states.