Verifiable Outsourcing Computation for Matrix Multiplication With Improved Efficiency and Applicability
Verifiable Outsourcing Computation for Matrix Multiplication With Improved Efficiency and Applicability
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可验证的矩阵乘法外包计算，提高效率和适用性
DOI：
10.1109/jiot.2018.2867113
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发表时间：
2018-08
影响因子：
10.6
通讯作者：
Lu Rongxing
中科院分区：
文献类型：
--
作者：
Zhang Shenmin;Li Hongwei;Dai Yuanshun;Li Jin;He Miao;Lu Rongxing
近年来，随着物联网和大数据的快速发展，云计算外包计算需求巨大，以帮助一些低能力设备的客户完成海量数据处理。同时，考虑到互联网设备的不确定性，我们应该坚持安全和高效。上传的数据和返回的结果不受攻击者的攻击，保证了安全性，而效率要求客户端低开销来完成整个计算过程。本文主要研究基于矩阵乘法的公共可验证外包方案，该方案可应用于多种物联网场景，如车联网的路径规划和智能电网的聚合运营。特别地，本文给出了两种不同矩阵乘法函数的格式，增强了其适用性。此外，本文的安全性分析和性能评价也充分体现了本文的优越性。
In recent years, the rapid development of Internet of Things (IoT) and big data shows the huge demand of outsourcing computing in cloud computing to assist some clients with low ability devices to fulfill massive data processing. In the mean time, considering the uncertainty of the Internet devices, we should persist security and high-efficiency. Uploaded data and returned results should be protected from attack of adversary, which guarantees the security, while efficiency requires low overhead of clients to finish the whole calculation procedure. In this paper, we main focus on the public verifiable outsourcing scheme on matrix multiplication, which can be applied in many IoT scenes, such as path planning and aggregation operation in Internet of Vehicles and smart grids, respectively. Specially, this paper presents schemes for two different functions of matrix multiplication, which strengthens the applicability. Moreover, security analysis and performance evaluation in this paper properly present the superiority of this paper.
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DOI：
10.1109/icosc.2015.7050840
发表时间：
2015-03
期刊：
Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)
影响因子：
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作者：
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DOI：
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发表时间：
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期刊：
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影响因子：
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DOI：
10.1109/tpds.2013.124
发表时间：
2014-08-01
影响因子：
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