2D Chaos-Based Visual Encryption Mechanism in EEG Signals

In this paper, we have developed a two-dimensional (2D) chaos-based encryption scheme that can be applied to electroencephalography (EEG) signals, and mobile telemedicine. Compared with the one-dimensional (1D) chaos-based encryption scheme, the proposed 2D schemes uses the concept of parallel processing is to increase the encryption speed. An essential feature of the proposed scheme is that signals mapping of a 2D chaotic scrambler and a permutation scheme are used to obtain EEG information that requires higher-level encryption. Simulation results show that when correct deciphering parameters are inputted, EEG signals are completely recovered. However, these signals will not be recovered if there is an error in the input parameters, for example, an initial point error of 0.00000001%.