DocumentCode :
615200
Title :
Generation and SL_SVM prediction of digital chaotic key sequence based on double K-L transform
Author :
Xiaoli Geng ; Baoxiang Du ; Qun Ding
Author_Institution :
Key Lab. of Electron. Eng., Coll. of Heilongjiang Province, Harbin, China
fYear :
2013
fDate :
18-19 May 2013
Firstpage :
88
Lastpage :
92
Abstract :
This paper proposes the double K-L transform method for Logistic 0/1 sequence, then predicts and analyses original Logistic sequence and Logistic sequence after double K-L transform by using SL_SVM(Least Square Support Vector Machine). Simulation results show that this kind of key sequence has the unpredictability, the period and the complexity of the binary double K-L transform logistic sequence are larger than original logistic 0/1 sequence, so it can be applied safely to the encryption system.
Keywords :
chaos; cryptography; least squares approximations; support vector machines; transforms; SL_SVM prediction; binary double K-L transform; digital chaotic key sequence; encryption system; least square support vector machine; logistic sequence; Encryption; SL_SVM; digital chaos; double K-L transform; key sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Network Security Technology and Privacy Communication System (SNS & PCS), 2013 International Conference on
Conference_Location :
Nangang
Print_ISBN :
978-1-4673-6452-2
Type :
conf
DOI :
10.1109/SNS-PCS.2013.6553841
Filename :
6553841
Link To Document :
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