Information Leakage Games: Exploring Information as a Utility Function

Author:

Alvim Mário S.1ORCID,Chatzikokolakis Konstantinos2ORCID,Kawamoto Yusuke3ORCID,Palamidessi Catuscia4ORCID

Affiliation:

1. UFMG, Belo Horizonte, Brazil

2. University of Athens, Ilisia, Athens, Greece, CNRS, Gif-sur-Yvette, France

3. AIST, Koto-ku, Tokyo, Japan

4. Inria Saclay, France and École Polytechnique, École Polytechnique, Palaiseau, France

Abstract

A common goal in the areas of secure information flow and privacy is to build effective defenses against unwanted leakage of information. To this end, one must be able to reason about potential attacks and their interplay with possible defenses. In this article, we propose a game-theoretic framework to formalize strategies of attacker and defender in the context of information leakage, and provide a basis for developing optimal defense methods. A novelty of our games is that their utility is given by information leakage, which in some cases may behave in a non-linear way. This causes a significant deviation from classic game theory, in which utility functions are linear with respect to players’ strategies. Hence, a key contribution of this work is the establishment of the foundations of information leakage games. We consider two kinds of games, depending on the notion of leakage considered. The first kind, the QIF -games , is tailored for the theory of quantitative information flow. The second one, the DP -games , corresponds to differential privacy.

Funder

JSPS and Inria

PEPS 2018 project MAGIC

ANR project REPAS

Epistemic Interactive Concurrency (EPIC) from the STIC AmSud Program

CNPq

CAPES

FAPEMIG

ERATO HASUO Metamathematics for Systems Design Project

JSPS KAKENHI

ERC grant HYPATIA under the European Union Horizon 2020 research and innovation programme

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,General Computer Science

Reference69 articles.

1. LIBQIF: A Quantitative Information Flow Toolkit Library;GitHub;https://github.com/chatziko/libqif.

2. Adversarial Leakage in Games

3. On the information leakage of differentially-private mechanisms

4. Quantitative information flow in interactive systems

5. LNCS;Alvim Mário S.,2017

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