TY - GEN
T1 - Information Leakage in Index Coding
AU - Liu, Yucheng
AU - Ong, Lawrence
AU - Yeoh, Phee Lep
AU - Sadeghi, Parastoo
AU - Kliewer, Joerg
AU - Johnson, Sarah
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85123425204&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123425204&partnerID=8YFLogxK
U2 - 10.1109/ITW48936.2021.9611514
DO - 10.1109/ITW48936.2021.9611514
M3 - Conference contribution
AN - SCOPUS:85123425204
T3 - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
BT - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Information Theory Workshop, ITW 2021
Y2 - 17 October 2021 through 21 October 2021
ER -