A simulation-based proof technique for dynamic information flow
Stephen McCamant, Michael D. Ernst · 2007
Information-flow analysis can prevent programs from improperly revealing secret information, and a dynamic approach can make such analysis more practical, but there has been relatively little work verifying that such analyses are sound (account for all flows in a given execution). We describe a new technique for proving the soundness of dynamic information-flow analyses for policies such as end-to-end confidentiality. The proof technique simulates the behavior of the analyzed program with a pair of copies of the program: one has access to the secret information, and the other is responsible for output. The two copies are connected by a limited-bandwidth communication channel, and the amount of information passed on the channel bounds the amount of information disclosed, allowing it to be quantified. We illustrate the technique by application to a model of a practical checking tool based on binary instrumentation, which had not previously been shown to be sound