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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/SNS-PCS.2013.6553841