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Efficient Secure and Verifiable Outsourcing of Matrix Multiplications

机译:矩阵乘法的高效,安全和可验证的外包

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With the emergence of cloud computing services, a resource-constrained client can outsource its computationally-heavy tasks to cloud providers. Because such service providers might not be fully trusted by the client, the need to verify integrity of the returned computation result arises. The ability to do so is called verifiable delegation or verifiable outsourcing. Furthermore, the data used in the computation may be sensitive and it is often desired to protect it from the cloud throughout the computation. In this work, we put forward solutions for verifiable outsourcing of matrix multiplications that favorably compare with the state of the art. Our goal is to minimize the cost of verifying the result without increasing overhead associated with other aspects of the scheme. In our scheme, the cost of verifying the result of computation uses only a single modulo exponentiation and the number of modulo multiplications linear in the size of the output matrix. This cost can be further reduced to avoid all cryptographic operations if the cloud is rational. A rational cloud is neither honest nor arbitrarily malicious, but rather economically motivated with the sole purpose of maximizing its monetary reward. We extend our core constructions with several desired features such as data protection, public verifiability, and computation chaining.
机译:随着云计算服务的出现,资源受限的客户端可以将其计算繁重的任务外包给云提供商。由于客户端可能不完全信任此类服务提供者,因此需要验证返回的计算结果的完整性。这样做的能力称为可验证的委派或可验证的外包。此外,在计算中使用的数据可能是敏感的,并且在整个计算过程中通常需要保护其免受云的影响。在这项工作中,我们提出了可验证的矩阵乘法外包解决方案,可以很好地与现有技术进行比较。我们的目标是在不增加与方案其他方面相关的开销的情况下,将验证结果的成本降至最低。在我们的方案中,验证计算结果的成本仅使用单个模取幂,并且模乘数的数量与输出矩阵的大小成线性关系。如果云是合理的,则可以进一步降低该成本以避免所有密码操作。理性的云既不是诚实的也不是任意恶意的,而是出于经济目的,其唯一目的是最大化其金钱报酬。我们用几个所需的功能扩展了我们的核心结构,例如数据保护,公共可验证性和计算链。

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