Privacy through familiarity

Wasim Huleihel, Muriel Medard

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


This paper considers the problem of transmitting digital data from a source reliably to a legitimate user, subjected to a wiretap at a receiver that employs a fixed decoding strategy. Specifically, we assume that the wiretapper views the same channel output as the legitimate user, but decodes the message using some fixed decoding strategy which might be mismatched with respect to the channel. This model aims to capture the natural situation in privacy where knowledge of the privacy mapping at the source can me modeled as channel statistics. In that case, all observers receive the same data, but have different levels of knowledge, or familiarity, regarding the observed user who uses a privacy mapping. We analyze two different security metrics; probability of error at the eavesdropper and semantic-security, and provide achievable rates under both criteria.

Original languageEnglish
Title of host publication2017 IEEE Information Theory Workshop, ITW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781509030972
StatePublished - 2 Jul 2017
Externally publishedYes
Event2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan, Province of China
Duration: 6 Nov 201710 Nov 2017

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095


Conference2017 IEEE Information Theory Workshop, ITW 2017
Country/TerritoryTaiwan, Province of China


FundersFunder number
Massachusetts Institute of Technology
Technion-Israel Institute of Technology


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