A chaos-based visual encryption mechanism for clinical EEG signals |
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Authors: | Chin-Feng Lin Cheng-Hsing Chung and Jia-Hui Lin |
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Institution: | (1) Department of Electrical Engineering, National Taiwan-Ocean University, Pei-Ning Road, Keelung, Taiwan, ROC |
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Abstract: | In this study, we have developed a chaos-based visual encryption mechanism that can be applied for clinical electroencephalography
(EEG) signals. In comparison with other types of random sequences, chaos sequences were mainly used to increase unpredictability.
We used a 1D chaotic scrambler and a permutation scheme to achieve EEG visual encryption. One approach of realizing the visual
encryption mechanism is to scramble the signal values of the input EEG signal by multiplying a 1D chaotic signal to randomize
the EEG signal values. We then applied a chaotic address scanning order encryption to the randomized reference values. Simulation
results show that when the correct deciphering parameters are entered, the signal is completely recovered, and the percent
root-mean-square difference (PRD) values for control and alcoholic clinical EEG signals are 4.33 × 10−15 and 4.11 × 10−15%, respectively. As long as there is an input parameter error, with an initial point error of 0.00000001% as an example, thereby
making these clinical EEG signals unrecoverable. |
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Keywords: | Chaos Visual encryption Clinical EEG signals |
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