标题:A confidentiality preserving publicly verifiable computation for multivariate polynomials
作者:Jiameng, Sun ;Binrui, Zhu ;Jing, Qin ;Jixin, Ma
通讯作者:Binrui, Zhu
作者机构:[Jiameng, Sun ;Binrui, Zhu ;Jing, Qin ] School of Mathematics, Shandong University, Jinan; 250100, China;[Jixin, Ma ] Centre for Computer and Computat 更多
会议名称:15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017
会议日期:7 June 2017 through 9 June 2017
来源:Proceedings - 2017 15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017
出版年:2017
页码:5-12
DOI:10.1109/SERA.2017.7965700
关键词:Big Data; Cloud computing; High degree polynomial; Outsourcing computation
摘要:With the development of cloud services, outsourcing computation tasks to a commercial cloud server has drawn attentions by various communities, especially in the Big Data age. Public verifiability offers a flexible functionality in real circumstance where the cloud service provider (CSP) may be untrusted or some malicious users may slander the CSP on purpose. However, sometimes the computational result is sensitive and is not willing to be exposed in the public verification phase. In this paper, we present a confidential-preserving public verifiable computation (CP-PVC) scheme for Evaluation of High Degree Polynomials. Compared with previous proposals, our scheme achieves confidentiality of computational result, while not sacrificing the property of public verifiability. We also provide the algorithm and experimental evaluation to show the efficiency of our scheme. © 2017 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026652115&doi=10.1109%2fSERA.2017.7965700&partnerID=40&md5=84d2e7fb6904187f4a7d9656638cf5e4
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