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Adapting Software Fault Isolation to Contemporary CPU Architectures

Authors: David Sehr, Robert Muth, Cliff L. Biffle, Victor Khimenko, Egor Pasko, Bennet Yee, Karl Schimpf, Brad Chen

Software Fault Isolation (SFI) is an effective approach to sandboxing binary code of questionable provenance, an interesting use case for native plugins in a Web browser. We present software fault isolation schemes for ARM and x86-64 that provide control-flow and memory integrity with average performance overhead of under 5% on ARM and 7% on x86-64. We believe these are the best known SFI implementations for these architectures, with significantly lower overhead than previous systems for similar architectures. Our experience suggests that these SFI implementations benefit from instruction-level parallelism, and have particularly small impact for workloads that are data memory-bound, both properties that tend to reduce the impact of our SFI systems for future CPU implementations.

Presented at the 19th USENIX Security Symposium.

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