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Secure and Efficient Protocol for Outsourcing Large-Scale Systems of Linear Equations to the Cloud

机译:将线性方程组的大型系统外包给云的安全高效协议

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Cloud services enables clients using their limited resources to economically enjoy the massive computational power and storage of the public cloud. Nevertheless, this promising computing services inevitably brings in new threats and challenges, for example, input and output data privacy and cheating detection. Since large-scale systems of linear equations(LSLE) is widely rooted in many engineer and scientific applications. In this paper, for the first time, we utilize two non-colluding cloud servers to propose practical protocol for secure outsourcing LSLE in the fully malicious model. The new approach employs some efficient linear transformations but no expensive homomorphic encryptions system. Extensive theoretical analysis and the experimental evaluation demonstrates the correctness, efficiency, security and checkability of the method. In addition, compared with the existing algorithms, the protocol is superior in both efficiency and security.
机译:云服务使客户能够使用其有限的资源来经济地享受公共云的强大计算能力和存储能力。然而,这种有前途的计算服务不可避免地带来了新的威胁和挑战,例如输入和输出数据的隐私和作弊检测。由于大规模线性方程组(LSLE)广泛地植根于许多工程师和科学应用中。在本文中,我们首次利用两个无竞争性的云服务器为在完全恶意的模型中安全外包LSLE提出了实用的协议。新方法采用了一些有效的线性变换,但没有昂贵的同态加密系统。大量的理论分析和实验评估证明了该方法的正确性,有效性,安全性和可检查性。另外,与现有算法相比,该协议在效率和安全性上均优越。

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