Article(id=1242138061266563314, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138028983005327, articleNumber=null, orderNo=11, doi=10.3981/j.issn.1000-7857.2020.03.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1570896000000, receivedDateStr=2019-10-13, revisedDate=1577635200000, revisedDateStr=2019-12-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1585714926537, onlineDateStr=2020-04-01, pubDate=1581523200000, pubDateStr=2020-02-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1585714926537, onlineIssueDateStr=2020-04-01, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078391611, creator=sys-migrate, updateTime=1774078391611, updator=sys-migrate, issue=Issue{id=1242138028983005327, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='3', pageStart='1', pageEnd='216', issueExtLink='null', onlineDate='null', pubDate='1581523200000', pubDateStr='2020-02-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078383914, creator='sys-migrate', updateTime=1774078383914, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=115, endPage=122, ext={EN=ArticleExt(id=1242138068505932049, articleId=1242138061266563314, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Data desensitization meets big data and artificial intelligence: Some food for thought, columnId=1242138034179747997, journalTitle=Science & Technology Review, columnName=Exclusive: Big data strategy, runingTitle=null, highlight=null, articleAbstract=How to avoid the privacy and information leakage in the massive data is a widespread concern in the field of the big data and the information security. The data desensitization technology is one of the important means to solve this problem. In recent years, with the rapid development of the artificial intelligence technology driven by the big data and the high-performance computing, a large number of innovative methods were proposed, with many challenges to the existing data desensitization methods. This paper reviews the current situation of the big data and intelligent technology development, and the data desensitization technology, as well as the future development trends of the data desensitization technology., authors=WANG Hongkai¹, GONG Xiaogang¹, YE Wei¹, CHEN Chao¹, MA Xinqiang^2,3, YAO Jinqiang⁴, LIU Yong², authorsList=WANG Hongkai, GONG Xiaogang, YE Wei, CHEN Chao, MA Xinqiang, YAO Jinqiang, LIU Yong, authorCompany=1. State Grid Zhejiang Electric Power Company's Information Communication Company, Hangzhou 310027, China;
2. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China;
3. School of Artificial Intelligence, Chongqing University of Arts and Sciences, Chongqing 402160, China;
4. Zhejiang Communications Group Inspection Technology Co., Ltd., Hangzhou 310030, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=9Wfd27Cn4veAP1H73hZmyw==, pdfFileSize=3192145, 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=1242138067339915529, articleId=1242138061266563314, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=大数据智能下数据脱敏的思考, columnId=1242138033248612506, journalTitle=科技导报, columnName=专题：大数据战略, runingTitle=null, highlight=null, articleAbstract=随着人工智能技术在大数据与高性能计算的推动下飞速发展，涌现出大量创新性的方法，对现有的数据安全与脱敏方法带来了诸多挑战。从当今大数据与智能技术发展的现状入手，讨论了数据脱敏技术的内涵、工作流程、系统机制、典型脱敏案例，展望了未来数据脱敏技术的发展趋势，从技术、需求和法治、管理机制方面提出了一些数据脱敏的建议。, authors=王红凯¹, 龚小刚¹, 叶卫¹, 陈超¹, 马新强^2,3, 姚进强⁴, 刘勇², authorsList=王红凯, 龚小刚, 叶卫, 陈超, 马新强, 姚进强, 刘勇, authorCompany=1. 国网浙江省电力有限公司信息通信分公司, 杭州 310027;
2. 浙江大学智能系统与控制研究所, 杭州 310027;
3. 重庆文理学院人工智能学院, 重庆 402160;
4. 浙江省交通集团检测科技有限公司, 杭州 310030, correspAuthors=null, authorNote=王红凯,高级工程师,研究方向为网络与信息安全,电子信箱:whkzju@163.com, correspAuthorsNote=马新强(通信作者),教授,研究方向为大数据智能化与信息安全,电子信箱:xinqma@zju.edu.cn;刘勇(共同通信作者),教授,研究方向为大数据、人工智能与信息安全,电子信箱:yongliu@iipc.zju.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=spmy8UVNSX94WQzwyKv6YQ==, pdfFileSize=3192145, 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=浙江大学工业控制技术国家重点实验室开放课题（ICT170330，ICT1800413，ICT1900358）；广东省重点领域研发计划项目（2019B010120001）；重庆市发改委重大产业技术研发项目（2018148208）；浙江省重点研发计划项目（2019C01004）)}, authors=null, keywords=[Keyword(id=1242138066492662381, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138061266563314, language=CN, orderNo=1, keyword=大数据), 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