Indistinguishability Obfuscation for Turing Machines with Unbounded Memory

Venkata Koppula, Allison Bishop, Brent Waters
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引用次数: 130

Abstract

We show how to build indistinguishability obfuscation (iO) for Turing Machines where the overhead is polynomial in the security parameter λ, machine description |M| and input size |x| (with only a negligible correctness error). In particular, we avoid growing polynomially with the maximum space of a computation. Our construction is based on iO for circuits, one way functions and injective pseudo random generators. Our results are based on new "selective enforcement" techniques. Here we first create a primitive called positional accumulators that allows for a small commitment to a much larger storage. The commitment is unconditionally sound for a select piece of the storage. This primitive serves as an "iO-friendly" tool that allows us to make two different programs equivalent at different stages of a proof. The pieces of storage that are selected depend on what hybrid stage we are at in a proof. We first build up our enforcement ideas in a simpler context of "message hiding encodings" and work our way up to indistinguishability obfuscation.
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无界内存图灵机的不可区分混淆
我们展示了如何为图灵机构建不可区分混淆(iO),其中开销是安全参数λ、机器描述|M|和输入大小|x|的多项式(只有可以忽略不计的正确性错误)。特别是,我们避免了在计算的最大空间中多项式地增长。我们的构造是基于电路的iO、单向函数和内射伪随机发生器。我们的结果是基于新的“选择性执行”技术。这里,我们首先创建了一个称为位置累加器的原语,它允许对大得多的存储空间进行小的承诺。对于存储的选定部分,承诺是无条件有效的。这个原语作为一个“io友好”的工具,允许我们在证明的不同阶段使两个不同的程序等效。所选择的存储块取决于我们在证明中的混合阶段。我们首先在一个更简单的“消息隐藏编码”上下文中构建我们的实施思想,并逐步实现不可区分混淆。
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