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面向多论坛的自动群发技术研究
  • ISSN号:2095-2163
  • 期刊名称:智能计算机与应用
  • 时间:0
  • 页码:76-78+83
  • 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:支持犯罪重现的实时计算机取证技术研究
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
  • 《智能计算机与应用》
  • 主管单位:中华人民共和国工业和信息化部
  • 主办单位:哈尔滨工业大学 黑龙江省信息化办公室 黑龙江省计算机用户协会 黑龙江省计算机学会
  • 主编:徐晓飞
  • 地址:哈尔滨市南岗区繁荣街155号(哈工大新技术楼916室)
  • 邮编:150001
  • 邮箱:ica@hit.edu.cn
  • 电话:0451-86413183
  • 国际标准刊号:ISSN:2095-2163
  • 国内统一刊号:ISSN:23-1573/TN
  • 邮发代号:14-144
  • 获奖情况:
  • 1988,1991,1996,2000年黑龙江省优秀科技期刊
  • 国内外数据库收录:
  • 被引量:1007