Publication | Closed Access
Belief in Information Flow
120
Citations
29
References
2005
Year
Unknown Venue
EngineeringInformation SecurityInformation LeakageVerificationInformation ForensicsCommunicationSoftware AnalysisHardware SecurityData ScienceUncertainty QuantificationQuantitative Information FlowManagementBelief FunctionSecret DataDecision TheoryData PrivacyComputer ScienceInformation ManagementInformation FlowData SecurityCryptographyPrivacy LeakageAutomated ReasoningBelief MergingSecurity Measurement
Information leakage traditionally has been defined to occur when uncertainty about secret data is reduced. This uncertainty-based approach is inadequate for measuring information flow when an attacker is making assumptions about secret inputs and these assumptions might be incorrect; such attacker beliefs are an unavoidable aspect of any satisfactory definition of leakage. To reason about information flow based on beliefs, a model is developed that describes how attacker beliefs change due to the attacker's observation of the execution of a probabilistic (or deterministic) program. The model leads to a new metric for quantitative information flow that measures accuracy rather than uncertainty of beliefs.
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