• 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