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Non-termination and secure information flow†

Published online by Cambridge University Press:  27 October 2011

GEOFFREY SMITH  and
RAFAEL ALPÍZAR
GEOFFREY SMITH
Affiliation:
School of Computing and Information Sciences, Florida International University, Miami, FL 33199U.S.A. Email: smithg@cis.fiu.edu; ralpizar@cis.fiu.edu
RAFAEL ALPÍZAR
Affiliation:
School of Computing and Information Sciences, Florida International University, Miami, FL 33199U.S.A. Email: smithg@cis.fiu.edu; ralpizar@cis.fiu.edu
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Abstract

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In secure information flow analysis, the classic Denning restrictions allow a program's termination to be affected by the values of its H variables, resulting in potential information leaks. In an effort to quantify such leaks, in this paper we study a simple imperative language with random assignments. As a thought experiment, we propose a ‘stripping’ operation on programs, which eliminates all ‘high computation’, and prove the fundamental property that stripping cannot decrease the probability of any low outcome. To prove this property, we first introduce a new notion of fast probabilistic simulation on Markov chains and show that it implies a key reachability property. Viewing the stripping function as a binary relation, we then prove that stripping is a fast simulation. As an application, we prove that, under the Denning restrictions, well-typed probabilistic programs are guaranteed to satisfy an approximate probabilistic non-interference property, provided that their probability of non-termination is small.

Information

Type
Paper
Information
Mathematical Structures in Computer Science , Volume 21 , Special Issue 6: Programming Language Interference and Dependence , December 2011 , pp. 1183 - 1205
Copyright
Copyright © Cambridge University Press 2011

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