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Plenary Lecture

C# Based EEG Encryption System Using Chaos Algorithm

Assistant Professor Chin-Feng Lin
Department of Electrical Engineering
National Taiwan Ocean University
Taiwan, R.O.C.
E-mail: lcf1024@mail.ntou.edu.tw

Abstract: In the presentation, we discuss Microsoft’s Visual Studio Development Kit and the C# programming language to implement chaos-based electroencephalogram (EEG) encryption system with three encryption levels. A chaos logic map, an initial value, and a bifurcation parameter for the map are used to generate level I chaos-based EEG encryption bit streams. Two encryption-level parameters are added to these elements to generate level II chaos-based EEG encryption bit streams. An additional chaotic map and a chaotic address index assignment process are added to implement level III chaos-based EEG encryption system. Eight 16-channel EEG Vue signals are tested using the encryption software. The encryption speed is the lowest, and encryption is most robust for the level III system. The test results show that the results of encryption are superior, and when the correct deciphering parameter is applied, the EEG signals are completely recovered. However, an input parameter error, for example, a 0.00001% initial point error, will cause chaotic encryption bit streams, and 16-channel EEG Vue signals will not be recovered. The authors acknowledge the support of the NSC 100-2221-E-019-019, and NSC 101-2221-E-019-056.

Brief Biography of the Speaker: Dr. Chin-Feng Lin was born in Taiwan, in 1974. He received the B.S. degree in electrical engineering from Chung-Yung University in 1996 and the M.S. degree in electrical engineering from Chung-Hua University in 1998. He received the Ph.D. degrees in Commuincation Engineering from National Chiao Tung University, Taiwan, in 2002. Afterwards, he served as an assistant professor since 2004 in the Department of Electrical Engineering at National Taiwan Ocean University. He has been published 23 journal papers, one English online book, 4 English book chapters, 5 Chinese books, 8 Chinese patents, and 61 conference papers. His research interests include mobile telemedicine, biomedical signal processing, and underwater multimedia communication. He is a WSEAS member.

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