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首页> 外文期刊>Mathematical Problems in Engineering >Outsourcing Computing of Large Matrix Jordan Decomposition
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Outsourcing Computing of Large Matrix Jordan Decomposition

机译:大矩阵乔丹分解的外包计算

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摘要

The Jordan decomposition of matrix is a typical scientific and engineering computational task, but such computation involves enormous computing resources for large matrices, which is burdensome for the resource-limited clients. Cloud computing enables computational resource-limited clients to economically outsource such problems to the cloud server. However, outsourcing Jordan decomposition of large-scale matrix to the cloud brings great security concerns and challenges since the matrices usually contain sensitive information. In this paper, we present a secure, verifiable, efficient, and privacy preserving algorithm for outsourcing Jordan decomposition of large-scale matrix. Security analysis shows that our algorithm is practically secure. Efficient verification algorithm is used to verify the results returned from the cloud.
机译:矩阵的jordan分解是一种典型的科学和工程计算任务,但是这种计算涉及大型矩阵的巨大计算资源,这对于资源限制的客户来说是繁重的。 Cloud Computing使计算资源限制的客户端能够在云服务器上经济地将这些问题进行经济地外包。然而,外包jordan对云的大规模矩阵的分解为云带来了很大的安全问题和挑战,因为矩阵通常包含敏感信息。在本文中,我们为大规模矩阵的外包jordan分解提供了安全,可验证,高效,隐私保存算法。安全分析表明,我们的算法实际上是安全的。有效的验证算法用于验证从云返回的结果。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第18期|6410626.1-6410626.7|共7页
  • 作者

    Wu Hongfeng; Yan Jingjing;

  • 作者单位

    North China Univ Technol Coll Sci Beijing 100144 Peoples R China;

    North China Univ Technol Coll Sci Beijing 100144 Peoples R China;

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  • 正文语种 eng
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