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MD-VC_(Matrix): An Efficient Scheme for Publicly Verifiable Computation of Outsourced Matrix Multiplication

机译:MD-VC_(Matrix):一种有效的外包矩阵乘法可公开计算的方案

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Cloud service provider that is equipped with tremendous resources enables the terminals with constrained resources to perform outsourced query or computation on large scale data. Security challenges are always the research hotspots in the outsourced computation community. In this paper, we investigate the problem of publicly verifiable outsourced matrix multiplication. However, in the state-of-the-art scheme, a large number of computationally expensive operations are adopted to achieve the goal of public verification. Thus, the state-of-the-art scheme works inefficiently actually due to the fact that most of the time is spent on the verification-related computing. To lower the verification-related time cost, we propose an efficient scheme for public verification of outsourced matrix multiplication. The two-dimensional matrix is transformed into a one-dimensional vector, which retains the computing ability and is used as the substitute for subsequent verification-related work. The security analysis demonstrates the security of the proposed outsourcing scheme, and the performance analysis shows the running efficiency of the scheme.
机译:配备大量资源的云服务提供商使资源受限的终端能够对大规模数据执行外包查询或计算。安全挑战始终是外包计算社区中的研究热点。在本文中,我们研究了可公开验证的外包矩阵乘法问题。但是,在现有技术方案中,为了实现公开验证的目的,采用了大量计算上昂贵的操作。因此,由于大多数时间都花在了与验证相关的计算上,因此现有技术方案实际上效率低下。为了降低与验证有关的时间成本,我们提出了一种有效的方案,用于外包矩阵乘法的公共验证。二维矩阵被转换为一维向量,该向量保留了计算能力,并被用作后续验证相关​​工作的替代物。安全分析表明了所提出的外包方案的安全性,性能分析表明了该方案的运行效率。

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