The University of Southampton
University of Southampton Institutional Repository

Quantifying leakage in the presence of unreliable sources of information

Quantifying leakage in the presence of unreliable sources of information
Quantifying leakage in the presence of unreliable sources of information
Belief and min-entropy leakage are two well-known approaches to quantify information flow in security systems. Both concepts stand as alternatives to the traditional approaches founded on Shannon entropy and mutual information, which were shown to provide inadequate security guarantees. In this paper we unify the two concepts in one model so as to cope with the frequent (potentially inaccurate, misleading or outdated) attackers’ side information about individuals on social networks, online forums, blogs and other forms of online communication and information sharing. To this end we propose a new metric based on min-entropy that takes into account the adversary’s beliefs.
0022-0000
27-52
Hamadou, Sardouna
a3681473-229f-423a-8113-b466cd1b5e98
Palamidessi, Catuscia
a62c01bb-aec0-490b-bd05-b9081954b88f
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
Hamadou, Sardouna
a3681473-229f-423a-8113-b466cd1b5e98
Palamidessi, Catuscia
a62c01bb-aec0-490b-bd05-b9081954b88f
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7

Hamadou, Sardouna, Palamidessi, Catuscia and Sassone, Vladimiro (2017) Quantifying leakage in the presence of unreliable sources of information. Journal of Computer and System Sciences, 88, 27-52. (doi:10.1016/j.jcss.2017.03.013).

Record type: Article

Abstract

Belief and min-entropy leakage are two well-known approaches to quantify information flow in security systems. Both concepts stand as alternatives to the traditional approaches founded on Shannon entropy and mutual information, which were shown to provide inadequate security guarantees. In this paper we unify the two concepts in one model so as to cope with the frequent (potentially inaccurate, misleading or outdated) attackers’ side information about individuals on social networks, online forums, blogs and other forms of online communication and information sharing. To this end we propose a new metric based on min-entropy that takes into account the adversary’s beliefs.

Text
belief.pdf - Accepted Manuscript
Download (965kB)

More information

Accepted/In Press date: 19 August 2016
e-pub ahead of print date: 3 April 2017
Published date: September 2017
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 403793
URI: http://eprints.soton.ac.uk/id/eprint/403793
ISSN: 0022-0000
PURE UUID: ef73df97-a547-4add-8b8c-835b2538ebad

Catalogue record

Date deposited: 11 Dec 2016 17:18
Last modified: 06 Oct 2020 23:00

Export record

Altmetrics

Contributors

Author: Sardouna Hamadou
Author: Catuscia Palamidessi
Author: Vladimiro Sassone

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×