Lists that are smaller than their parts: A coding approach to tunable secrecy

Lists that are smaller than their parts: A coding approach to tunable secrecy

We present a new information-theoretic definition and associated results, based on list decoding in a source coding setting. We begin by presenting list-source codes, which naturally map a key length (entropy) to list size. We then show that such codes can be analyzed in the context of a novel infor...

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Bibliographic Details
Main Authors: Medard, Muriel (Contributor), Zeger, Linda M. (Contributor), Barros, Joao (Author), Christiansen, Mark M. (Author), Duffy, Ken R. (Author), Calmon, Flavio du Pin (Contributor)
Other Authors: Lincoln Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-09-26T17:19:29Z.
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