A EEG signal encryption technique based on nested logistic map

Electroencephalogram (EEG) is one of the biosignals which should be transferred through internet in the district of telemedicine. Moreover, it is inevitable to store EEG information in patient’s digital dossier, due to the possible unauthorized accesses, therefore it is indispensable to protect the signal through encrypting with different encryption methods. Chaos theory is marked as a high quality encrypting method, because it is regulated and unpredictable compared with random sequences. An encryption method is based on the chaos theory which is proposed in this paper to maintain the patient s EEG data, ideally. We use Nested Logistic map which is so fast and difficult to unauthorized decoding. The proposed method is examined by autocorrelation criteria, power spectral density and the percentage of the remaining deviations. Simulation results, show that the method is safe enough and very convenient to preserve information of EEG signals with high sensitivity.

Keywords:

chaotic system , EEG signal , encryption , safty , Logestic map