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IEEE Transactions on Information Theory
Article . 2012 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/isit.2...
Article . 2005 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2010
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.48550/ar...
Article . 2005
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Secret Key and Private Key Constructions for Simple Multiterminal Source Models

Authors: Prakash Narayan; Ye Chunxuan;

Secret Key and Private Key Constructions for Simple Multiterminal Source Models

Abstract

We propose an approach for constructing secret and private keys based on the long-known Slepian-Wolf code, due to Wyner, for correlated sources connected by a virtual additive noise channel. Our work is motivated by results of Csisz��r and Narayan which highlight innate connections between secrecy generation by multiple terminals that observe correlated source signals and Slepian-Wolf near-lossless data compression. Explicit procedures for such constructions and their substantiation are provided. The performance of low density parity check channel codes in devising a new class of secret keys is examined.

12 pages; 2 figures; The material in this paper was presented in part at the IEEE International Symposium on Information Theory, Adelaide, Australia, Sept. 2005, and at the Information Theory and Applications Workshop, San Diego, CA, Feb. 2006

Keywords

FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer Science - Information Theory, Information Theory (cs.IT), Cryptography and Security (cs.CR)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Average
Top 10%
Top 10%
Green
bronze