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僵尸网络检测技术研究
引用本文:王钟梅,殷新春,袁秋宇.僵尸网络检测技术研究[J].计算机安全,2011(8):43-46.
作者姓名:王钟梅  殷新春  袁秋宇
作者单位:1. 连云港师范高等专科学校,江苏连云港,222006
2. 扬州大学信息工程学院,江苏扬州,225009
3. 连云港第七一六研究所,江苏连云港,222006
摘    要:由于全球网络都在遭受日益广泛的僵尸网络所带来的威胁,因此,必须加大对其防治.僵尸网络检测的方法分为三个部分:“僵尸网络静态特征检测技术”、“僵尸网络动态特征检测技术”、“僵尸网络混合特征检测技术”,分别指出了僵尸网络静态特征检测技术的缺陷就是误报率高、僵尸网络动态特征检测技术缺乏先验性和处理数据量大等缺点,最后指出,把...

关 键 词:僵尸网络  检测  静态特征  动态特征  混合特征

Study on the Technology for Detecting the Botnet
WANG Zhong-mei,YIN Xin-chun,YUAN Qiu-yu.Study on the Technology for Detecting the Botnet[J].Network & Computer Security,2011(8):43-46.
Authors:WANG Zhong-mei  YIN Xin-chun  YUAN Qiu-yu
Affiliation:WANG Zhong-mei1,YIN Xin-chun2,YUAN Qiu-yu3(1.Departmeng of computer,LianYunGang teacher's School,Lianyungang,Jiangsu 222006,China,2.School of Information Engineering,YangZhou university,Yangzhou,Jiangsu 225009,3.The 716th institute of LianYunGang,China)
Abstract:As the threat on global network by the botnet becomes more and more widespreading,we must increase the prevention.In this article,there’re three parts for the methods to test the botnet:botnet detection technology of static features,botnet detection technology of dynamic features,botnet detection technology of mix features,these parts respectively point out that the defect of the static features inspection technology is the high error reports、lack of previous forecast and excessive data processing of the Zombies network detection technology of dynamic features;At last,summarize that the two mechods must be combined which can better reduce the processing data and improve the detection accuracy.
Keywords:Botnet  static feature  dynamic features  mix features  
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