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Distributed Verification of Mixing - Local ForkingProofs Model

机译:混合的分布式验证-本地ForkingProofs模型

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One of generic techniques to achieve anonymity is to process messages through a batch of cryptographic mixes. In order to guarantee proper execution verifiable mixes are constructed: each mix provides a proof of correctness together with its output. However, if a mix is working on a huge number of messages at a time, the proof itself is huge since it concerns processing all messages. So in practice only a few verifiers would download the proofs and in turn we would have to trust what they are saying. We consider a different model in which there are many verifiers, but each of them is going to download only a limited number of bits in order to check the mixes. Distributed character of the process ensures effectiveness even if many verifiers are dishonest and do not report irregularities found. We concern a fully distributed and intuitive verification scheme which we call local forking proofs. For each intermediate ciphertext a verifier may ask for a proof that its re-encrypted version is in the output of the mix concerned. The proof shows that the re-encrypted version is within some subset of k ciphertexts from the output of the mix, and it can be performed with strong zero-knowledge or algebraic methods. They should work efficiently concerning communication complexity, if k is a relatively small constant. There are many issues concerning stochastic properties of local forking proofs. In this paper we examine just one: we estimate quite precisely how many mixes are required so that if a local proof is provided for each message, then a plaintext hidden in an input message can appear on any position of the final output set.
机译:实现匿名的一种通用技术是通过一批密码混合来处理消息。为了确保正确执行,构造了可验证的混合:每个混合都提供正确性证明及其输出。但是,如果一次混合处理大量消息,则证明本身就是巨大的,因为它涉及处理所有消息。因此在实践中,只有少数验证者会下载证明,然后我们将不得不信任他们所说的话。我们考虑一个不同的模型,其中有许多验证器,但是每个验证器将仅下载有限数量的位以检查混合。该过程的分布式特性可确保有效性,即使许多验证者是不诚实的且不报告发现的违规情况。我们关注一个完全分布式且直观的验证方案,我们将其称为本地分叉证明。对于每个中间密文,验证者可能要求证明其重新加密的版本存在于相关混合的输出中。证明表明,重新加密的版本位于混合输出的k个密文的某些子集中,并且可以使用强大的零知识或代数方法来执行。如果k是一个相对较小的常数,则它们应该有效地处理通信复杂性。关于局部分叉证明的随机性质存在许多问题。在本文中,我们仅检查一个:我们精确地估计需要多少混合,以便为每个消息提供本地证明,那么隐藏在输入消息中的纯文本可以出现在最终输出集的任何位置。

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