DocumentCode :
2719808
Title :
A Method of Improving Qualities of True Random Sequences Based-On Wavelet Analysis
Author :
Yu tao Fan ; Gui ping Su
Author_Institution :
Sch. of Comput. Sci., North China Inst. of Sci. & Technol., Beijing, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
1162
Lastpage :
1165
Abstract :
With the higher demands for qualities of random sequences, true random sequences are paid more attention because of their higher security features. Although true random sequences have the character of unprediction, they still have problems on big deviation and correlation. The problem on how to get rid of these factors affecting security and obtain good randomicity is becoming the research focus. In this paper, the theory of wavelet analysis is applied to improve the qualities of true random sequences. The emulation results prove that the method used is effective in obtaining unpredictable and unrepeated random sequences.
Keywords :
correlation methods; cryptography; random sequences; wavelet transforms; correlation problems; quality improvement method; randomicity; security; true random sequences; unpredictable random sequence; unrepeated random sequence; wavelet analysis; Correlation; Noise; Random sequences; Time frequency analysis; Wavelet analysis; Wavelet transforms; True Random Sequences; Wavelet; correlation; deviation; security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.294
Filename :
6394532
Link To Document :
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