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ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks Volume 18

Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

In this paper we address the following question. How much can information complexity be increased via a chaotic encryption and convolutional coding? To address this, the algorithmic complexity of data sequences generated from a cascade of one-stage chaotic cryptosystem and a one-stage convolutionally encoding mechanism is examined. An algorithm that evaluates the efficiency and performance of this mechanism for a secure digital communication is designed. Special attention was paid to the algorithmic complexity of computing information for an entire class of rate-1∕2 encoders. Numerical evidence indicates algorithmic complexity associated with the chaotic-encrypted convolutionally-encoded data increases along with the increase of...

Abstract
Introduction
Chaotic Encryption and Convolutional Coding
Convolutional Coding Theory
Best Rate-1∕2 Convolutional Codes Algorithmic Complexity
Complexity Analysis
Conclusion
References
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