DocumentCode :
1623798
Title :
Implementation of an offline chaos-based EEG encryption software
Author :
Lin, Chin-Feng ; Shih, Shun-Han ; Zhu, Jin-De ; Lee, Sang-Hung
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
fYear :
2012
Firstpage :
430
Lastpage :
433
Abstract :
In the paper, we use Microsoft visual studio development kit and C# programming to implement a chaos-based electroencephalogram (EEG) encryption software. A chaos logic map, and initial value of the chaos logic map are used to generate level I chaos-based EEG encryption bit streams. A chaos logic map, initial value, a bifurcation parameter of the chaos logic map, and two encryption level parameters are used to generate level II chaos-based EEG encryption bit streams. A chaos logic map, initial value, a bifurcation parameter of the chaos logic map, two encryption level parameters, and a permutation scheme are used to implement level III chaos-based EEG encryption software. 16 channel EEG Vue signals are tested using the encryption software. The encryption speed is the lowest, and most robust for the level III chaos-based EEG encryption software. Testing results show that the encryption effect is superior, and when a correct deciphering parameter is put in, the EEG signals will be completely recovered. However, if there is an input parameter error with, for example, a 0.00001% initial point error, it will lead to chaotic encryption bit streams and the 16 channel EEG signals will not be recovered.
Keywords :
C language; cryptography; electroencephalography; medical signal processing; visual languages; 16 channel EEG Vue signals; C# programming; EEG signals; Microsoft visual studio development kit; bifurcation parameter; chaos logic map; chaos-based electroencephalogram encryption software; deciphering parameter; level II chaos-based EEG encryption bit streams; level III chaos-based EEG encryption software; offline chaos-based EEG encryption software; Biology; Electroencephalography; Encryption; Programming; Software; 16-channel EEG Vue signals; C# programming; Microsoft visual studio development kit; chaos; encryption; software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2012 14th International Conference on
Conference_Location :
PyeongChang
ISSN :
1738-9445
Print_ISBN :
978-1-4673-0150-3
Type :
conf
Filename :
6174702
Link To Document :
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