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基于数据流的网页内容分析技术研究
  • ISSN号:0372-2112
  • 期刊名称:电子学报
  • 时间:2013.4.15
  • 页码:751-756
  • 分类:TP309.2[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术] TU984[建筑科学—城市规划与设计]
  • 作者机构:[1]Harbin Institute of Technology, Heilongjiang Province, Harbin, China, [2]College of Computer Science, Beijing University of Technology, Beijing, China, [3]School of Computer, National University of Defense Technology, Changsha 410073, China, [4]China International Capital Corporation Limited, Beijing, China
  • 相关基金:supported by the National Natural Science Foundation of China under Grant No.60903166 and 61170262; the National High-Tech Research and Development Plan of China under Grant Nos.2012AA012506; Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20121103120032; the Humanity and Social Science Youth Foundation of Ministry of Education of China under Grant No.13YJCZH065; General Program of Science and Technology Development Project of Beijing Municipal Education Commission of China under Grant No.km201410005012; the Research on Education and Teaching of Beijing University of Technology under Grant No.ER2013C24; Open Research Fund of Beijing Key Laboratory of Trusted Computing
  • 相关项目:网络隐藏服务识别理论方法及关键技术研究
中文摘要:

Network forensics is a security infrastructure,and becomes the research focus of forensic investigation.However many challenges still exist in conducting network forensics:network has produced large amounts of data;the comprehensibility of evidence extracting from collected data;the efficiency of evidence analysis methods,etc.To solve these problems,in this paper we develop a network intrusion forensics system based on transductive scheme that can detect and analyze efficiently computer crime in networked environments,and extract digital evidence automatically.At the end of the paper,we evaluate our method on a series of experiments on KDD Cup 1999 dataset.The results demonstrate that our methods are actually effective for real-time network forensics,and can provide comprehensible aid for a forensic expert.

英文摘要:

Network forensics is a security infrastructure,and becomes the research focus of forensic investigation.However many challenges still exist in conducting network forensics:network has produced large amounts of data;the comprehensibility of evidence extracting from collected data;the efficiency of evidence analysis methods,etc.To solve these problems,in this paper we develop a network intrusion forensics system based on transductive scheme that can detect and analyze efficiently computer crime in networked environments,and extract digital evidence automatically.At the end of the paper,we evaluate our method on a series of experiments on KDD Cup 1999 dataset.The results demonstrate that our methods are actually effective for real-time network forensics,and can provide comprehensible aid for a forensic expert.

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期刊信息
  • 《电子学报》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国电子学会
  • 主编:郝跃
  • 地址:北京165信箱
  • 邮编:100036
  • 邮箱:new@ejournal.org.cn
  • 电话:010-68279116 68285082
  • 国际标准刊号:ISSN:0372-2112
  • 国内统一刊号:ISSN:11-2087/TN
  • 邮发代号:2-891
  • 获奖情况:
  • 2000年获国家期刊奖,2000年获国家自然科学基金志项基金支持,中国期刊方阵“双高”期刊
  • 国内外数据库收录:
  • 美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘,中国北大核心期刊(2000版)
  • 被引量:57611