LIBQIF: a quantitative information flow C++ toolkit library

A fundamental concern in computer security is to control information ow, whether to protect con dential information from being leaked, or to protect trusted information from being tainted. A classic approach is to try to enforce non-interference. Unfortunately, achieving non-interference is often no...

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Autor principal: Martinelli, Fernán G.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
QIF
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42039
http://43jaiio.sadio.org.ar/proceedings/EST/6_764-2536-1-DR.pdf
Aporte de:
id I19-R120-10915-42039
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
QIF
quantitative
information flow
C++ library
Information flow controls
spellingShingle Ciencias Informáticas
QIF
quantitative
information flow
C++ library
Information flow controls
Martinelli, Fernán G.
LIBQIF: a quantitative information flow C++ toolkit library
topic_facet Ciencias Informáticas
QIF
quantitative
information flow
C++ library
Information flow controls
description A fundamental concern in computer security is to control information ow, whether to protect con dential information from being leaked, or to protect trusted information from being tainted. A classic approach is to try to enforce non-interference. Unfortunately, achieving non-interference is often not possible, because often there is a correlation between secrets and observables, either by design or due to some physical feature of the computation (side channels). One promising approach to relaxing noninterference, is to develop a quantitative theory of information ow that allows us to reason about how much information is being leaked, thus paving the way to the possibility of tolerating small leaks. In this work, we aim at developing a quantitative information ow C++ toolkit library, implementing several algorithms from the areas of QIF (more speci cally from four theories: Shannon Entropy, Min-Entropy, Guessing Entropy and G-Leakage) and Di erential Privacy. The library can be used by academics to facilitate research in these areas, as well as by students as a learning tool. A primary use of the library is to compute QIF measures as well as to generate plots, useful for understanding their behavior. Moreover, the library allows users to compute optimal di erentially private mechanisms, compare the utility of known mechanisms, compare the leakage of channels, compute gain functions that separate channels, and various other functionalities related to QIF.
format Objeto de conferencia
Objeto de conferencia
author Martinelli, Fernán G.
author_facet Martinelli, Fernán G.
author_sort Martinelli, Fernán G.
title LIBQIF: a quantitative information flow C++ toolkit library
title_short LIBQIF: a quantitative information flow C++ toolkit library
title_full LIBQIF: a quantitative information flow C++ toolkit library
title_fullStr LIBQIF: a quantitative information flow C++ toolkit library
title_full_unstemmed LIBQIF: a quantitative information flow C++ toolkit library
title_sort libqif: a quantitative information flow c++ toolkit library
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/42039
http://43jaiio.sadio.org.ar/proceedings/EST/6_764-2536-1-DR.pdf
work_keys_str_mv AT martinellifernang libqifaquantitativeinformationflowctoolkitlibrary
bdutipo_str Repositorios
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