Information Leakage in Index Coding

Title: Information Leakage in Index Coding
Creator: Liu, Yucheng; Ong, Lawrence; Yeoh, Phee Lep; Sadeghi, Parastoo; Kliewer, Joerg; Johnson, Sarah
Relation: 2021 IEEE Information Theory Workshop, ITW 2021. Proceedings of 2021 IEEE Information Theory Workshop, ITW 2021 (Kanazawa, Japan 17-21 October, 2021)
Relation: ARC.DP190100770 http://purl.org/au-research/grants/arc/DP190100770
Publisher Link: http://dx.doi.org/10.1109/ITW48936.2021.9611514
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2021
Description: We study the information leakage to a guessing adversary in index coding with a general message distribution. Under both vanishing-error and zero-error decoding assumptions, we develop lower and upper bounds on the optimal leakage rate, which are based on the broadcast rate of the subproblem induced by the set of messages the adversary tries to guess. When the messages are independent and uniformly distributed, the lower and upper bounds match, establishing an equivalence between the two rates.
Subject: upper bound; conferences; encoding; decoding; indexes
Identifier: http://hdl.handle.net/1959.13/1439124
Identifier: uon:40828
Identifier: ISBN:9781665403122
Language: eng
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