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The detection method based on relations among sub-events in complicated network attacks has been put forward in this paper. The example shows that method which are designed in this system can effectively detect the attacks., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=zse7nQxv8qcZ6Gi6485tHQ==, pdfFileSize=287558, 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=1242119000470131399, articleId=1242118997781577957, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于关系事件的网络复杂攻击检测技术研究, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=应用传统的入侵检测方法无法实现对网络复杂攻击的检测,传统检测算法的重点在于观测独立事件或独立用户的行为特征,缺乏对事件之间相互作用关系的考量和分析,而复杂攻击可供检测的显性特征就在于事件间的关联特征。提出了一种基于复杂攻击子事件和子事件关系的检测方法,通过复杂攻击的检测范例,证明了该方法的有效性。, authors=周建成,宋曦轮, authorsList=周建成;宋曦轮, authorCompany=中国工程物理研究院化工材料研究所 四川绵阳, correspAuthors=null, authorNote=null, correspAuthorsNote=宋曦轮, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=ubmDPY4Ur9HJfcDx8fRAOg==, pdfFileSize=287558, 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)}, authors=null, keywords=[Keyword(id=1242118999664820464, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242118997781577957, language=CN, orderNo=1, keyword=复杂攻击), Keyword(id=1242118999803232498, tenantId=1146029695717560320, journalId=1146031591421210625, 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