• DocumentCode
    1873167
  • Title

    Secure collaboration using Slepian-Wolf codes

  • Author

    He, Dake ; Jagmohan, Ashish ; Lu, Ligang

  • Author_Institution
    IBM T. J. Watson Res., Yorktown Heights, NY
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2216
  • Lastpage
    2219
  • Abstract
    The problem of secure collaboration between two agents, A and B, with limited mutual trust is considered. Specifically, we consider a formulation wherein agent A would like to share information with agent B but only if B has correlated information. Our solution is based on the principles of source coding with decoder-only side information. The key idea is that agent A can encode its information by using a Slepian-Wolf code at a rate which enables agent B to correctly decode only if the information which B has satisfies a conditional entropy constraint. Furthermore, our solution allows the two agents to interact and negotiate the rate on the fly. It is shown that such interaction not only reduces the transmission rate, but also allows secure collaboration to be established even when neither agent knows the joint statistics of their information. Finally, we demonstrate the utility of our solution in a simple medical imaging application.
  • Keywords
    biomedical imaging; entropy; source coding; statistics; Slepian-Wolf codes; conditional entropy constraint; correlated information; decoder-only side information; joint statistics; medical imaging application; secure collaboration; source coding; Authentication; Biomedical imaging; Collaboration; Collaborative work; Computed tomography; Cryptography; Decoding; Helium; Random variables; Source coding; Secure collaboration; Slepian-Wolf coding; distributed source coding; interactive decoding; medical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712230
  • Filename
    4712230