[PDF][PDF] The complexity of quantitative information flow in recursive programs

R Chadha, M Ummels - IARCS Annual Conference on …, 2012 - drops.dagstuhl.de
IARCS Annual Conference on Foundations of Software Technology and …, 2012drops.dagstuhl.de
Abstract Information-theoretic measures based upon mutual information can be employed to
quantify the information that an execution of a program reveals about its secret inputs. The
information leakage bounding problem asks whether the information leaked by a program
does not exceed a given threshold. We consider this problem for two scenarios: a) the
outputs of the program are revealed, and b) the timing (measured in the number of execution
steps) of the program is revealed. For both scenarios, we establish complexity results in the …
Abstract
Information-theoretic measures based upon mutual information can be employed to quantify the information that an execution of a program reveals about its secret inputs. The information leakage bounding problem asks whether the information leaked by a program does not exceed a given threshold. We consider this problem for two scenarios: a) the outputs of the program are revealed, and b) the timing (measured in the number of execution steps) of the program is revealed. For both scenarios, we establish complexity results in the context of deterministic boolean programs, both for programs with and without recursion. In particular, we prove that for recursive programs the information leakage bounding problem is no harder than checking reachability.
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