2. Outline. Inference attacksDirect attacks (no inference needed)Indirect attacks via aggregationsTracker attacksInference via linear systemsInference via database constraintsInference controlLimited Response SuppressionCombining resultsRandom sampleRandom data perturbationQuery analysis.
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Topic 6.3: Database Inference Control
(SEX !=M ^ SEX !=F) (DORM=AYRES)
Sums of Financial Aid by Dorm and Sex
Female Students Living in Grey
Count of Financial Aid by Dorm and Sex
Male Students Living
in Holmes or West
is equivalent to
sum (Sex=F) –
sum ((Sex=F)^(Race!=C Dorm != Holmes)
= ________ – ________ = ______
q(C) is disallowed
C=C1 ^ C2
T=C1 ^ ~C2
q(C)=q(C1) – q(T)
Student by Dorm and Sex
What are the suppressed values?
Students by Sex and Drug Use