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Secure Obfuscation in a Weak Multilinear Map Model

机译:弱多线性地图模型中的安全混淆

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All known candidate indistinguishability obfuscation (iO) schemes rely on candidate multilinear maps. Until recently, the strongest proofs of security available for iO candidates were in a generic model that only allows "honest" use of the multilinear map. Most notably, in this model the zero-test procedure only reveals whether an encoded element is 0, and nothing more. However, this model is inadequate: there have been several attacks on multilinear maps that exploit extra information revealed by the zero-test procedure. In particular, Miles, Sahai and Zhandry (Crypto'16) recently gave a polynomial-time attack on several iO candidates when instantiated with the multilinear maps of Garg, Gentry, and Halevi (Euro-crypt'13), and also proposed a new "weak multilinear map model" that captures all known polynomial-time attacks on GGH13. In this work, we give a new iO candidate which can be seen as a small modification or generalization of the original candidate of Garg, Gentry, Halevi, Raykova, Sahai, and Waters (FOCS'13). We prove its security in the weak multilinear map model, thus giving the first iO candidate that is provably secure against all known polynomial-time attacks on GGH13. The proof of security relies on a new assumption about the hardness of computing annihilating polynomials, and we show that this assumption is implied by the existence of pseudorandom functions in NC~1.
机译:所有已知的候选者不可区分性混淆(iO)方案都依赖于候选者多线性映射。直到最近,用于iO候选人的最强有力的安全证明还是在仅允许“诚实”使用多线性图的通用模型中。最值得注意的是,在此模型中,零测试过程仅显示编码元素是否为0,仅此而已。但是,该模型是不够的:对多线性映射进行了数次攻击,这些攻击利用了零检验程序揭示的额外信息。特别是,Miles,Sahai和Zhandry(Crypto'16)最近用Garg,Gentry和Halevi(Euro-crypt'13)的多线性图实例化时,对多个iO候选对象进行了多项式攻击。 “弱多线性映射模型”,捕获GGH13上所有已知的多项式时间攻击。在这项工作中,我们给出了一个新的iO候选者,可以看作是对Garg,Gentry,Halevi,Raykova,Sahai和Waters(FOCS'13)的原始候选者的微小修改或推广。我们在弱多线性映射模型中证明了其安全性,从而给出了可证明对GGH13的所有已知多项式时间攻击均具有安全性的首个iO候选对象。安全性证明依赖于关于计算an灭多项式的难度的新假设,并且我们证明了该假设是由NC〜1中伪随机函数的存在所隐含的。

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