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Automatic Discovery and Quantification of Information Leaks

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3 Author(s)
Backes, M. ; MPI-SWS, Saarland Univ., Saarbrucken, Germany ; Kopf, B. ; Rybalchenko, A.

Information-flow analysis is a powerful technique for reasoning about the sensitive information exposed by a program during its execution. We present the first automatic method for information-flow analysis that discovers what information is leaked and computes its comprehensive quantitative interpretation. The leaked information is characterized by an equivalence relation on secret artifacts, and is represented by a logical assertion over the corresponding program variables. Our measurement procedure computes the number of discovered equivalence classes and their sizes. This provides a basis for computing a set of quantitative properties, which includes all established information-theoretic measures in quantitative information-flow. Our method exploits an inherent connection between formal models of qualitative information-flow and program verification techniques. We provide an implementation of our method that builds upon existing tools for program verification and information-theoretic analysis. Our experimental evaluation indicates the practical applicability of the presented method.

Published in:

Security and Privacy, 2009 30th IEEE Symposium on

Date of Conference:

17-20 May 2009