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Symmetric cryptographic solution to Yao's millionaires' problem and an evaluation of secure multiparty computations

机译:姚明百万富翁问题的对称密码解决方案以及对安全多方计算的评估

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Secure multiparty computation has become a central research focus in the international cryptographic community and in the future likely will represent an integral part of computing science. Protocols for Yao's millionaires' problem provide the building blocks for many secure multiparty computation protocols, which makes their efficiency critical. Unfortunately, all known protocols for Yao's millionaires' problem employ public key cryptography and thus are inefficient. This article constructs a new efficient solution to Yao's millionaires' problem based on symmetric cryptography. We first develop an efficient protocol for set-inclusion problems, which has independent interest for secure multiparty computations. The privacy-preserving property of the solution is demonstrated by a well-accepted simulation paradigm. To compare the security levels of different solutions, we propose a new security paradigm that quantitatively captures the security levels of different solutions and can determine which secure multiparty computation solution is preferable. This article thus provides an important supplement to the simulation paradigm. Together with the simulation paradigm, it offers a complete security evaluation benchmark for multiparty computations. (C) 2007 Elsevier Inc. All rights reserved.
机译:安全的多方计算已成为国际密码界的中心研究重点,并且将来可能会代表计算科学的组成部分。姚明百万富翁问题的协议为许多安全的多方计算协议提供了构建基块,这使其效率至关重要。不幸的是,所有有关姚明百万富翁问题的已知协议都采用了公共密钥加密技术,因此效率低下。本文构建了一种基于对称密码的有效解决姚明百万富翁问题的新方法。我们首先针对集合包含问题开发了一种有效的协议,它对安全的多方计算具有独立的兴趣。该解决方案的隐私保护特性通过公认的仿真范例得以证明。为了比较不同解决方案的安全级别,我们提出了一种新的安全范式,该范式定量捕获了不同解决方案的安全级别,并可以确定哪种安全的多方计算解决方案是更可取的。因此,本文为仿真范例提供了重要的补充。与仿真范例一起,它为多方计算提供了完整的安全性评估基准。 (C)2007 Elsevier Inc.保留所有权利。

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