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
Link To Document :
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