• DocumentCode
    2618518
  • Title

    Identification via wiretap channels

  • Author

    Ahlswede, Rudolf ; Zhang, Zhen

  • Author_Institution
    Fakultat fur Math., Bielefeld Univ., Germany
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    352
  • Abstract
    The wiretap channel can be viewed as a probabilistic model for cryptography. The channel has two outputs. One is for the legitimate receiver and the other is for the wiretapper. The goal of communication is to send messages to the legitimate receiver while the wiretapper must be kept ignorant. A wiretap channel is a quintuple (X,W(y|x),V(x|x),Y,Z), where X is the input alphabet, Y is the output alphabet for the legitimate receiver, Z is the output alphabet for the wiretapper, W(y|x) is the channel transition matrix, whose output is available to the legitimate receiver, and V(x|x) is the channel transition matrix, whose output is available to the wiretapper. The channel is assumed to be memoryless. In the classical transmission problem, an (n,M,ε)-code for the wiretap channel is defined as a system {(ci,Di)|1⩽i⩽M}, where, for all i,c i∈Xn are the codewords and Di⊂yn are the disjoint decoding sets. It is required that for any i λi=defWn(Dic |ci)⩽ε, and if Xn has uniform distribution over {ci|⩽i⩽M}, then 1/nI(Xn;Zn)⩽ε. The secret capacity of the wiretap channel is defined as the maximum rate of any code which satisfies these conditions. Formally, let M(n,ε)=max{M:∃a(n,M,ε) code}, then the secret capacity of the wiretap channel is defined as Cs=max{R:∀ε>0,∃n such that M(n,C)⩾ nR. The secret capacity of the wiretap channel can then be determined. The problem of identification via this channel is then formulated
  • Keywords
    channel coding; codes; cryptography; identification; memoryless systems; telecommunication channels; alphabet; channel transition matrix; classical transmission problem; cryptography; disjoint decoding sets; identification; maximum rate; memoryless channel; probabilistic model; secret capacity; wiretap channels; Channel capacity; Cryptography; Decoding; Information theory; Probability distribution; Virtual colonoscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    0-7803-2015-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1994.394666
  • Filename
    394666