• DocumentCode
    626781
  • Title

    A two-class information concealing system based on compressed sensing

  • Author

    Cambareri, Valerio ; Haboba, Javier ; Pareschi, Fabio ; Rovatti, H. Riccardo ; Setti, Gianluca ; Kwok-Wo Wong

  • Author_Institution
    DEI - Univ. of Bologna, Bologna, Italy
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    1356
  • Lastpage
    1359
  • Abstract
    We elaborate on the possibility of exploiting the (pseudo)random projection operator, which is at the heart of the most common architecture for compressed sensing, to prevent access to the acquired information by unauthorized receivers. In low-resource applications, this approach may make dedicated cryptographic layers unnecessary when the security requirement is not particularly high. Beyond proving that the proposed system is at least asymptotically immune to straightforward statistical attacks, we also exploit the sensitivity of compressed sensing recovery algorithms to the complete knowledge of the projection matrix to introduce two-class protection. The encoding is such that first-class decoders can retrieve the signal to its full resolution while second-class decoders are able to retrieve only a degraded version of the same signal. Examples are given with reference to ECG signal acquisition.
  • Keywords
    compressed sensing; decoding; electrocardiography; medical signal detection; security of data; ECG signal acquisition; compressed sensing recovery algorithms; dedicated cryptographic layers; first-class decoders; pseudorandom projection operator; second-class decoders; security requirement; straightforward statistical attacks; two-class information concealing system; two-class protection; unauthorized receivers; Compressed sensing; Decoding; Electrocardiography; Encoding; Noise; Receivers; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6572106
  • Filename
    6572106