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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/5721
Title: Information-Flow Security for Interactive Programs
Authors: O'Neill, Kevin R.
Clarkson, Michael R.
Chong, Stephen
Keywords: computer science
technical report
Issue Date: 17-Apr-2006
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cis/TR2006-2022
Abstract: Interactive programs allow users to engage in input and output throughout execution. The ubiquity of such programs motivates the development of models for reasoning about their information-flow security, yet no such models seem to exist for imperative programming languages. Further, existing language-based security conditions founded on noninteractive models permit insecure information flows in interactive imperative programs. This paper formulates new strategy-based information-flow security conditions for a simple imperative programming language that includes input and output operators. The semantics of the language enables a fine-grained approach to the resolution of nondeterministic choices. The security conditions leverage this approach to prohibit refinement attacks while still permitting observable nondeterminism. Extending the language with probabilistic choice yields a corresponding definition of probabilistic noninterference. A soundness theorem demonstrates the feasibility of statically enforcing the security conditions via a simple type system. These results constitute a step toward understanding and enforcing information-flow security in real-world programming languages, which include similar input and output operators.
URI: http://hdl.handle.net/1813/5721
Appears in Collections:Computing and Information Science Technical Reports

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