• DocumentCode
    653327
  • Title

    A Compressive Sensing Based Secure Data Transmission Scheme

  • Author

    Guorui Li ; Ying Wang

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1272
  • Lastpage
    1275
  • Abstract
    In compressive sensing theory, a signal can be reconstructed from a small set of non-adaptive, linear measurements if the signal can be represented as a sparse object in some orthonormal basis. We proposed a compressive sensing based secure data transmission scheme in this paper. Only simple linear operations are required in the encryption end and complex computations are transferred to the resourcerich decryption end. The detailed encryption and decryption processes are described in detail. We proved the proposed secure data transmission scheme can achieve perfect secrecy under some conditions. Signal encryption and decryption experiments are also provided to verify the effectiveness of the proposed scheme.
  • Keywords
    compressed sensing; cryptography; data communication; signal reconstruction; compressive sensing theory; decryption processes; encryption processes; linear measurements; secure data transmission scheme; signal decryption; signal encryption; signal reconstruction; Compressed sensing; Data communication; Encryption; Matching pursuit algorithms; Random variables; Sparse matrices; Compressive sensing; Perfect secrecy; Restricted isometry property; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.221
  • Filename
    6682234