使用图诱导编码实现bp混淆

S. Halevi, Tzipora Halevi, V. Shoup, Noah Stephens-Davidowitz
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引用次数: 34

摘要

由于Gentry等人(GGH15),我们实现了分支程序混淆器(简化版本),它本身就是Garg等人(GGHRSW13)的第一个混淆候选的变体。为了保持在可行性范围内,我们不得不放弃构建的某些方面,特别是防止混合输入攻击的“乘法捆绑”因素。因此,我们的实现只能支持只读一次的分支程序。为了能够处理任何不仅仅是玩具问题,我们开发了大量的算法和代码级优化。这些包括离散高斯采样器和晶格陷门采样器的新变体,有效的矩阵操作例程,以及许多权衡。我们期望这些优化将在基于格的加密中找到其他用途,而不仅仅是混淆。我们的实现是使用GGH15分级编码方案的第一次混淆尝试,在混淆具有许多状态的有限状态机时,它提供了优于其他分级编码方法的性能优势。在我们最苛刻的环境中,我们能够混淆输入长度为20 nibble(80比特)和超过100个状态的程序,这似乎是以前的实现无法实现的。虽然进一步的优化肯定是可能的,但我们不期望当前方案的任何实现能够处理更大的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing BP-Obfuscation Using Graph-Induced Encoding
We implemented (a simplified version of) the branching-program obfuscator due to Gentry et al. (GGH15), which is itself a variation of the first obfuscation candidate by Garg et al. (GGHRSW13). To keep within the realm of feasibility, we had to give up on some aspects of the construction, specifically the "multiplicative bundling" factors that protect against mixed-input attacks. Hence our implementation can only support read-once branching programs. To be able to handle anything more than just toy problems, we developed a host of algorithmic and code-level optimizations. These include new variants of discrete Gaussian sampler and lattice trapdoor sampler, efficient matrix-manipulation routines, and many tradeoffs. We expect that these optimizations will find other uses in lattice-based cryptography beyond just obfuscation. Our implementation is the first obfuscation attempt using the GGH15 graded encoding scheme, offering performance advantages over other graded encoding methods when obfuscating finite-state machines with many states. In out most demanding setting, we were able to obfuscate programs with input length of 20 nibbles (80 bits) and over 100 states, which seems out of reach for prior implementations. Although further optimizations are surely possible, we do not expect any implementation of current schemes to be able to handle much larger parameters.
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