• DocumentCode
    714316
  • Title

    Cryptography with compressive sensing Orthogonal Matching Pursuit method

  • Author

    Atar, Ertan ; Ersoy, Okan K. ; Ozyilmaz, Lale

  • Author_Institution
    Elektron.&Hab. Muh. Bolumu, Yildiz Teknik Univ., Istanbul, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    216
  • Lastpage
    219
  • Abstract
    Compressive sensing is a new technique of reconstructing a signal with much less number of measurements than what is required by the sampling theorem. Sparse signals, detection (measurement) matrices are obtained with the aid of measurements stored into vectors. If the signal is sparse enough, the original signal can be recovered successfully. In this study, compressive sensing Orthogonal Matching Pursuit (OMP) algorithm is used, and applied to symmetric cryptography application. Since OMP is a compressive sensing method, both compressive sensing and cryptographic encyrption/decyrption are achieved simultaneously. Two-times complex reinforced encryption and decryption cryptography was also achieved with the new method.
  • Keywords
    cryptography; matrix algebra; signal reconstruction; OMP algorithm; complex reinforced encryption; compressive sensing orthogonal matching pursuit method; decryption cryptography; detection matrices; measurement matrices; signal reconstruction; sparse signals; symmetric cryptography application; Compressed sensing; Encryption; Information theory; Matching pursuit algorithms; Signal processing; Transforms; Compressive sensing; cryptography; data size reduction; discrete cosine-III transform complex key; orthogonal matching pursuit algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129797
  • Filename
    7129797