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Abstract
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Article Information:
Based on Negative Selection Algorithm to Generate Long-Period Pseudo-Random Sequence
Mingyu Yue
Corresponding Author: Mingyu Yue
Submitted: March 05, 2012
Accepted: April 03, 2012
Published: July 15, 2012 |
Abstract:
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This study presents a method of generating long-period pseudo-random sequence based on a
plaintext and negative selection algorithm for real applications. It is a new method that extracts the generated
factor from the plaintext. Moreover, the generated factor as a group is expanded by the way of the m-sequence
and generates pseudo-random. The autocorrelation and statistical properties of the method are better. If it used
for data encrypted, it has a good anti-attack performance. In addition, the generate factor can also be used for
immune identification in receiver end, to verify data integrity. So there will be a good prospect.
Key words: Generated factor, long-period, negative selection algorithm, pseudo-random sequence, simulation, ,
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Abstract
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Cite this Reference:
Mingyu Yue, . Based on Negative Selection Algorithm to Generate Long-Period Pseudo-Random Sequence. Research Journal of Applied Sciences, Engineering and Technology, (14): 2167-2170.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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