Information Leakage in Index Coding With Sensitive and Non-Sensitive Messages

Autor:	Liu, Yucheng, Ong, Lawrence, Yeoh, Phee Lep, Sadeghi, Parastoo, Kliewer, Joerg, Johnson, Sarah
Rok vydání:	2022
Předmět:	Computer Science - Information Theory Computer Science - Cryptography and Security
Druh dokumentu:	Working Paper
Popis:	Information leakage to a guessing adversary in index coding is studied, where some messages in the system are sensitive and others are not. The non-sensitive messages can be used by the server like secret keys to mitigate leakage of the sensitive messages to the adversary. We construct a deterministic linear coding scheme, developed from the rank minimization method based on fitting matrices (Bar-Yossef et al. 2011). The linear scheme leads to a novel upper bound on the optimal information leakage rate, which is proved to be tight over all deterministic scalar linear codes. We also derive a converse result from a graph-theoretic perspective, which holds in general over all deterministic and stochastic coding schemes. Comment: Accepted by IEEE International Symposium on Information Theory (ISIT) 2022
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.10827 Zobrazit plný text záznamu View this record from Arxiv