A Quantitative Approach to Measuring Assurance with Uncertainty in Data Provenance
AbstractA data provenance framework is subject to security threats and risks, which increase the uncertainty, or lack of trust, in provenance information. Information assurance is challenged by incomplete information; one cannot exhaustively characterize all threats or all vulnerabilities. One technique that specifically incorporates a probabilistic notion of uncertainty is subjective logic. Subjective logic allows belief and uncertainty, due to incomplete information, to be specified and operated upon in a coherent manner. A mapping from the standard definition of information assurance to a more quantitative subjective logic framework is suggested with a focus on the specific application of data provenance. Finally, specific consideration is given to the notion of uncertainty within subjective logic and its relation to information entropy. Information entropy is an alternative measure of uncertainty and a fundamental relationship is hypothesized between uncertainty in subjective logic and entropy
Similar books and articles
Reasoning about Information Assurance Policy with Uncertainty using the Semantic Web.Stephen F. Bush - forthcoming - Annual Symposium on Information Assurance:1--7.
Contradictory Information: Too Much of a Good Thing. [REVIEW]J. Michael Dunn - 2010 - Journal of Philosophical Logic 39 (4):425 - 452.
How not to theorize about the language of subjective uncertainty.Eric Swanson - 2009 - In Andy Egan & Brian Weatherson (eds.), Epistemic Modality. Oxford University Press.
Rational argumentation under uncertainty.Niki Pfeifer - 2007 - In G. Kreuzbauer, N. Gratzl & E. Hiebl (eds.), Persuasion Und Wissenschaft: Aktuelle Fragestellungen von Rhetorik Und Argumentationstheorie. Lit. pp. 181--191.
Chapter Thirteen–Relationships between Subjective Time and Information Processed (Reduction of Uncertainty).Ronald P. Gruber, Lawrence F. Wagner & Richard A. Block - 2004 - In Paul Harris & Michael Crawford (eds.), Time and Uncertainty. Brill. pp. 11--188.
Decision problems under uncertainty based on entropy functionals.Hans W. Gottinger - 1990 - Theory and Decision 28 (2):143-172.
Synchronizing Diachronic Uncertainty.Alistair Isaac & Tomohiro Hoshi - 2011 - Journal of Logic, Language and Information 20 (2):137-159.
Uncertainty (H) estimation.James M. Driscoll & Logan B. Sturgeon - 1969 - Journal of Experimental Psychology 79 (3p1):565.
Risk, uncertainty and hidden information.Stephen Morris - 1997 - Theory and Decision 42 (3):235-269.
Known, Unknown, and Unknowable Uncertainties.Rakesh K. Sarin & Clare Chua Chow - 2002 - Theory and Decision 52 (2):127-138.
How can questions be informative before they are answered? Strategic information in interrogative games.Emmanuel Genot & Justine Jacot - 2012 - Episteme 9 (2):189-204.
Risk Information Processing and Rational Ignoring in the Health Context.Barbara Osimani - 2012 - Journal of Socio-Economics 41:169-179.
Added to PP
Historical graph of downloads
Sorry, there are not enough data points to plot this chart.