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Efficient solution to the millionaires' problem based on asymmetric commutative encryption scheme

机译:基于非对称可交换加密方案的百万富翁问题的有效解决方案

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摘要

Secure multiparty computation is an important scheme in cryptography and can be applied in various real-life problems. The first secure multiparty computation problem is the millionaires' problem, and its protocol is an important building block. Because of the less efficiency of public key encryption scheme, most existing solutions based on public key cryptography to this problem are inefficient. Thus, a solution based on the symmetric encryption scheme has been proposed. In this paper, we formally analyse the vulnerability of this solution, and propose a new scheme based on the decisional Diffie-Hellman assumption. Our solution also uses 0-encoding and 1-encoding generated by our modified encoding method to reduce the computation cost. We implement the solution based on symmetric encryption scheme and our protocol. Extensive experiments are conducted to evaluate the efficiency of our solution, and the experimental results show that our solution can be much more efficient and be approximately 8000 times faster than the solution based on symmetric encryption scheme for a 32-bit input and short-term security. Moreover, our solution is also more efficient than the state-of-the-art solution without precomputation and can also compare well with the state-of-the-art protocol while the bit length of private inputs is large enough.
机译:安全的多方计算是密码学中的重要方案,可以应用于各种现实问题。第一个安全的多方计算问题是百万富翁的问题,它的协议是重要的组成部分。由于公共密钥加密方案的效率较低,因此大多数基于公共密钥加密技术的现有解决方案效率不高。因此,已经提出了基于对称加密方案的解决方案。在本文中,我们正式分析了该解决方案的脆弱性,并基于决策Diffie-Hellman假设提出了一种新方案。我们的解决方案还使用由我们改进的编码方法生成的0编码和1编码,以降低计算成本。我们基于对称加密方案和我们的协议实施该解决方案。进行了广泛的实验以评估我们的解决方案的效率,并且实验结果表明,与基于对称加密方案的32位输入和短期安全性解决方案相比,我们的解决方案效率更高,并且速度大约快8000倍。 。此外,我们的解决方案比没有预先计算的最新解决方案更有效,并且在私有输入的位长足够大的情况下,也可以与最新协议进行比较。

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