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《Computer Engineering and Design》 2011-09
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Botnet detection model based on sequential analysis

FAN Yi-yan1,WU Guo-rui2,CHEN Jian-li1,TANG Bo1(1.National Linux Technology Training and Development Center,Hunan University of Arts and Science,Changde 415000,China;2.School of Software and Microelectronics,Peking University,Beijing 100871,China)  
The contemporary IRC botnet detection methods are not suitable for botnet detection under infrequently command and control interactions.To detect small stealthy botnet,a botnet detection model based on sequential analysis is proposed,which is a complement to contemporary passive detection technologies.Several probe methods and detection algorithms are discussed considering response types of clients,and average round of detection is analyzed,only small portion of command and control interactions are observed to declare single or multiple IRC bot.The results show that botnet detection is completed in expected round under controlled false positive rate and false negative rate.
【Fund】: 湖南省自然科学基金项目(10JJ6100);; 湖南省教育厅基金项目(06C581);; 湖南文理学院优秀青年基金项目(YXQN1003)
【CateGory Index】: TP393.08
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 FAN Yi-yan1,WU Guo-rui2(1.National Linux Technology Training and Development Center,Hunan University of Arts and Science,Changde 415000,China;2.School of Software and Microelectronics,Peking University,Beijing 100871,China);Botnet detection method based on email characteristic match[J];Computer Engineering and Design;2010-01
【Co-citations】
Chinese Journal Full-text Database 1 Hits
1 CAI Liang (CNPC ChangQing Oilfield Digitization & Information Department,Xi'an 710018,China);The Design and Implementation of Lightweight Short Message Platform[J];Computer Knowledge and Technology;2011-17
China Proceedings of conference Full-text Database 1 Hits
1 Yiyan Fan School of Computer Science and Technology Hunan University of Arts and Science Changde 415000,China Xiaoyong Mei School of Computer Science and Technology Hunan University of Arts and Science Changde 415000,China;A Novel Botnet Detection Model Based on Sequential Analysis[A];[C];2010
【Secondary Citations】
Chinese Journal Full-text Database 3 Hits
1 FAN Jie-ting,LAI Hui-cheng College of Information Science & Engineering,Xinjiang University,Urumuqi 830046,China;Spam filter approach based on Support Vector Machine[J];Computer Engineering and Applications;2008-28
2 WANG Bin,PAN Wen-feng (Institute of Computing Technology, Chinese Academy of Sciences,Beiji ng 100080,China);A Survey of Content-based Anti-spam Email Filtering[J];Journal of Chinese Information Processing;2005-05
3 FANG Yuan, WU Hao, YANG Li-ming (Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002, China);Analysis of P2P Botnet of two-tier structure[J];Computer Engineering and Design;2008-11
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