Title :
Refining a Quantitative Information Flow Metric
Author :
Hussein, Sari Haj
Author_Institution :
Dept. of Comput. Sci., Aalborg Univ., Aalborg, Denmark
Abstract :
We introduce a new perspective into the field of quantitative information flow (QIF) analysis that invites the community to bound the leakage, reported by QIF quantifiers, by a range consistent with the size of a program´s secret input instead of by a mathematically sound (but counter-intuitive) upper bound of that leakage. To substantiate our position, we present a refinement of a recent QIF metric that appears in the literature. Our refinement is based on slight changes we bring into the design of that metric. These changes do not affect the theoretical premises onto which the original metric is laid. However, they enable the natural association between flow results and the exhaustive search effort needed to uncover a program´s secret information (or the residual secret part of that information) to be clearly established. The refinement we discuss in this paper validates our perspective and demonstrates its importance in the future design of QIF quantifiers.
Keywords :
information retrieval; program diagnostics; security of data; QIF analysis; QIF quantifiers; computer security; exhaustive search; program analysis; quantitative information flow metric; secret information; upper bound; Diseases; Information theory; Measurement; Probabilistic logic; Probability distribution; Uncertainty; Upper bound;
Conference_Titel :
New Technologies, Mobility and Security (NTMS), 2012 5th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-0228-9
Electronic_ISBN :
2157-4952
DOI :
10.1109/NTMS.2012.6208689