• DocumentCode
    2988393
  • Title

    Binary causal-adversary channels

  • Author

    Langberg, M. ; Jaggi, S. ; Dey, B.K.

  • Author_Institution
    Comput. Sci. Div., Open Univ. of Israel, Raanana, Israel
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    2723
  • Lastpage
    2727
  • Abstract
    In this work we consider the communication of information in the presence of a causal adversarial jammer. In the setting under study, a sender wishes to communicate a message to a receiver by transmitting a codeword x = (x1, ..., xn) bit-by-bit over a communication channel. The adversarial jammer can view the transmitted bits xi one at a time, and can change up to a p-fraction of them. However, the decisions of the jammer must be made in an online or causal manner. Namely, for each bit xi the jammer´s decision on whether to corrupt it or not (and on how to change it) must depend only on xj for j ¿ i. This is in contrast to the ¿classical¿ adversarial jammer which may base its decisions on its complete knowledge of x. We present a non-trivial upper bound on the amount of information that can be communicated. We show that the achievable rate can be asymptotically no greater than min{1 - H(p), (1 - 4p)+}. Here H(.) is the binary entropy function, and (1 - 4p)+ equals 1 - 4p for p ¿ 0.25, and 0 otherwise.
  • Keywords
    binary codes; entropy codes; jamming; telecommunication channels; binary causal-adversary channels; binary entropy function; causal adversarial jammer; codeword; communication channel; information communication; Codes; Communication channels; Computer interfaces; Computer science; Decoding; Entropy; Jamming; Laboratories; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205859
  • Filename
    5205859