The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Laisser nous X, Y être deux variables aléatoires discrètes corrélées. Nous considérons une estimation de X à partir de données codées φ(Y) de Y par une fonction d'encodeur φ(Y). Nous dérivons une inégalité décrivant une relation entre la probabilité correcte d'estimation et l'information mutuelle entre X et φ(Y). Cette inégalité peut être utile pour l’analyse sécurisée du système cryptographique lorsque nous utilisons la probabilité de réussite de l’estimation des données secrètes comme critère de sécurité. Cela donne également une signification intuitive de l’exposant du secret dans le critère du secret fort.
Yasutada OOHAMA
The University of Electro-Communications
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copier
Yasutada OOHAMA, "On a Relationship between the Correct Probability of Estimation from Correlated Data and Mutual Information" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 12, pp. 2205-2209, December 2018, doi: 10.1587/transfun.E101.A.2205.
Abstract: Let X, Y be two correlated discrete random variables. We consider an estimation of X from encoded data φ(Y) of Y by some encoder function φ(Y). We derive an inequality describing a relation of the correct probability of estimation and the mutual information between X and φ(Y). This inequality may be useful for the secure analysis of crypto system when we use the success probability of estimating secret data as a security criterion. It also provides an intuitive meaning of the secrecy exponent in the strong secrecy criterion.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.2205/_p
Copier
@ARTICLE{e101-a_12_2205,
author={Yasutada OOHAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={On a Relationship between the Correct Probability of Estimation from Correlated Data and Mutual Information},
year={2018},
volume={E101-A},
number={12},
pages={2205-2209},
abstract={Let X, Y be two correlated discrete random variables. We consider an estimation of X from encoded data φ(Y) of Y by some encoder function φ(Y). We derive an inequality describing a relation of the correct probability of estimation and the mutual information between X and φ(Y). This inequality may be useful for the secure analysis of crypto system when we use the success probability of estimating secret data as a security criterion. It also provides an intuitive meaning of the secrecy exponent in the strong secrecy criterion.},
keywords={},
doi={10.1587/transfun.E101.A.2205},
ISSN={1745-1337},
month={December},}
Copier
TY - JOUR
TI - On a Relationship between the Correct Probability of Estimation from Correlated Data and Mutual Information
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2205
EP - 2209
AU - Yasutada OOHAMA
PY - 2018
DO - 10.1587/transfun.E101.A.2205
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2018
AB - Let X, Y be two correlated discrete random variables. We consider an estimation of X from encoded data φ(Y) of Y by some encoder function φ(Y). We derive an inequality describing a relation of the correct probability of estimation and the mutual information between X and φ(Y). This inequality may be useful for the secure analysis of crypto system when we use the success probability of estimating secret data as a security criterion. It also provides an intuitive meaning of the secrecy exponent in the strong secrecy criterion.
ER -