DocumentCode :
3715155
Title :
Information integrity between correlated sources through Wyner-Ziv coding
Author :
Eric Graves;Tan F. Wong
Author_Institution :
Army Research Lab, Adelphi, MD 20783, U.S.A.
fYear :
2015
Firstpage :
332
Lastpage :
336
Abstract :
In this paper, the problem of achieving information integrity in the classical Wyner-Ziv lossy source coding model is considered. A discrete memoryless source encodes its source sequence using the standard Wyner-Ziv coding technique and forwards the bin index to another source that employs the bin index and its own correlated sequence to decode the first source´s sequence. There is an adversary who may arbitrarily modify the bin index sent to the decoder. It is assumed the adversary may base the attack on the true bin index, its own sequence (which may be correlated to both the encoder and decoder sequences) as well as the known codebook used by the sources. It is shown that a non-simulatability condition on the joint source distribution is necessary and sufficient to achieve information integrity. However, the additional requirement of information integrity may incur a penalty on the rate-distortion performance.
Keywords :
"Yttrium","Rate-distortion","Indexes","Cloud computing","Source coding","Decoding"
Publisher :
ieee
Conference_Titel :
Information Theory Workshop - Fall (ITW), 2015 IEEE
Type :
conf
DOI :
10.1109/ITWF.2015.7360790
Filename :
7360790
Link To Document :
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