[PDF][PDF] ARM2GC: Simple and Efficient Garbled Circuit Framework by Skipping.
IACR Cryptol. ePrint Arch., 2017•researchgate.net
We present ARM2GC, a novel secure function evaluation framework based on Yao's
Garbled Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-
preserving applications using high-level programming languages (eg, C) and compile them
using standard ARM compilers (eg, gcc-arm). In our framework, the underlying Boolean
circuit is that of an ARM processor to which the compiled binary of the function is input as a
nonprivate instruction code. The main enabler of this construction is the introduction of …
Garbled Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-
preserving applications using high-level programming languages (eg, C) and compile them
using standard ARM compilers (eg, gcc-arm). In our framework, the underlying Boolean
circuit is that of an ARM processor to which the compiled binary of the function is input as a
nonprivate instruction code. The main enabler of this construction is the introduction of …
Abstract
We present ARM2GC, a novel secure function evaluation framework based on Yao’s Garbled Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-preserving applications using high-level programming languages (eg, C) and compile them using standard ARM compilers (eg, gcc-arm). In our framework, the underlying Boolean circuit is that of an ARM processor to which the compiled binary of the function is input as a nonprivate instruction code. The main enabler of this construction is the introduction of SkipGate, an algorithm that omits the communication and encryption cost of a Boolean gate when its output is independent of the private data. SkipGate greatly enhances the performance of ARM2GC by omitting costs of the gates associated with the instructions in the compiled binary, thus making it practical and efficient. Our evaluation on benchmark functions demonstrates that ARM2GC not only outperforms the current GC frameworks that support high-level languages, it also achieves efficiency comparable to the best prior results which were achieved using conventional logic synthesis tools and hardware description language.
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