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Abstract
Quantitative information flow aims to assess and control the leakage of sensitive information by computer systems. A key insight in this area is that no single leakage measure is appropriate in all operational scenarios; as a result, many leakage measures have been proposed, with many different properties. To clarify this complex situation, this paper studies information leakage axiomatically, showing important dependencies among different axioms. It also establishes a completeness result about the g-leakage family, showing that any leakage measure satisfying certain intuitively-reasonable properties can be expressed as a g-leakage.
Original language | English |
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Pages (from-to) | 32-54 |
Number of pages | 23 |
Journal | Theoretical Computer Science |
Volume | 777 |
DOIs | |
Publication status | Published - 19 Jul 2019 |
Keywords
- Axioms
- Confidentiality
- g-Vulnerability
- Information flow
- Information theory
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- 1 Finished
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More information for better utility; less information for better privacy
McIver, A., Morgan, C., Teague, V., Schneider, S., MQRES, M. & PhD Contribution (ARC), P. C.
26/03/14 → 31/12/20
Project: Research