Abstract
In the paper, a chaos-based electroencephalogram (EEG) encryption software was developed using Microsoft Visual Studio and C# programming. Two level chaos-based encryption mechanisms are implemented for clinical EEG signals. A chaos logic map, initial value, and a bifurcation parameter of the chaos logic map are used to generate level I chaos-based encryption bit streams. Several clinical EEG signals are tested, and the encryption effect is superior.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Lin, CF., Chang, CY. (2012). Implementation of a Chaos-Based Encryption Software for Electroencephalogram Signals. In: Jin, D., Lin, S. (eds) Advances in Electronic Commerce, Web Application and Communication. Advances in Intelligent and Soft Computing, vol 148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28655-1_23
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DOI: https://doi.org/10.1007/978-3-642-28655-1_23
Publisher Name: Springer, Berlin, Heidelberg
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