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2012 (Vol. 4, Issue: 14)
Article Information:

Based on Negative Selection Algorithm to Generate Long-Period Pseudo-Random Sequence

Mingyu Yue
Corresponding Author:  Mingyu Yue 

Key words:  Generated factor, long-period, negative selection algorithm, pseudo-random sequence, simulation, ,
Vol. 4 , (14): 2167-2170
Submitted Accepted Published
March 05, 2012 April 03, 2012 July 15, 2012
Abstract:

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.
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  Cite this Reference:
Mingyu Yue, 2012. Based on Negative Selection Algorithm to Generate Long-Period Pseudo-Random Sequence.  Research Journal of Applied Sciences, Engineering and Technology, 4(14): 2167-2170.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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