Article(id=1242132838091400038, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242132823793020971, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2014.34.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1411574400000, receivedDateStr=2014-09-25, revisedDate=1414944000000, revisedDateStr=2014-11-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1418804365860, onlineDateStr=2014-12-17, pubDate=1417968000000, pubDateStr=2014-12-08, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1418804365860, onlineIssueDateStr=2014-12-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077146309, creator=sys-migrate, updateTime=1774077146309, updator=sys-migrate, issue=Issue{id=1242132823793020971, tenantId=1146029695717560320, journalId=1146031591421210625, year='2014', volume='32', issue='34', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1417968000000', pubDateStr='2014-12-08', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077142899, creator='sys-migrate', updateTime=1774077142899, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=47, endPage=52, ext={EN=ArticleExt(id=1242132843908899723, articleId=1242132838091400038, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A Framework for Secure Sharing of Sensitive Data on Big Data Platform, columnId=null, journalTitle=Science & Technology Review, columnName=null, runingTitle=null, highlight=null, articleAbstract=Vast amounts of users sensitive data are stored on the big data platform. The sharing of sensitive data will help enterprises to reduce the cost of providing users with personalized service, and achieve value-added services of data. However, the secure sharing of data is an urgent problem. By analyzing the present security situation of sensitive data, this paper proposes a framework for secure sharing of those data on big data platform, including security submission, storage, use and destruction of sensitive data on the semi-trusted big data sharing platform. Relevant key technologies were studied, such as the proxy re-encryption algorithm based on heterogeneous cipher-text transformation and user process protection methods based on the virtual machine monitor, which provides support for the realization of system functions. The framework well protects the security of users sensitive data, and shares these data effectively and safely. At the same time, the data owners have complete control of their own data, which is conducive to foster a sound environment for modern Internet information security., authors=DONG Xinhua, LI Ruixuan, HE Heng, ZHOU Wanwan, XUE Zhengyuan, WANG Cong, authorsList=DONG Xinhua, LI Ruixuan, HE Heng, ZHOU Wanwan, XUE Zhengyuan, WANG Cong, authorCompany=School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=MOTdZ9TgylMDJlLwY/iDlQ==, pdfFileSize=2488791, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242132841560089470, articleId=1242132838091400038, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=一种大数据平台敏感数据安全共享的框架, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=大数据平台存储了海量的用户敏感数据,这些敏感数据的共享有助于企业降低为用户提供个性化服务的成本,实现数据增值,而数据的安全共享是一个亟待解决的问题.通过分析敏感数据安全现状,提出了一个大数据平台敏感数据安全共享系统框架,包括数据平台上敏感数据的安全提交、存储、使用和销毁;研究了基于密文异构转化的代理重加密算法和基于虚拟机监控器的用户进程保护方法等关键技术,为系统功能的实现提供了支撑.该框架能够保护用户敏感数据的安全性,有效实现这些数据的安全共享,同时使数据拥有者完全掌握自身数据的控制权,从而有利于营造现代互联网信息安全的良好环境., authors=董新华, 李瑞轩, 何亨, 周湾湾, 薛正元, 王聪, authorsList=董新华, 李瑞轩, 何亨, 周湾湾, 薛正元, 王聪, authorCompany=华中科技大学计算机科学与技术学院, 武汉 430074, correspAuthors=null, authorNote=董新华,博士研究生,研究方向为云计算和大数据管理、信息检索,电子信箱: xhdong@hust.edu.cn, correspAuthorsNote=李瑞轩,教授,研究方向为系统安全、分布式计算、数据管理,电子信箱: rxli@hust.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=5NrnIYBObVKauPMqq109gg==, pdfFileSize=2488791, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, 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