首页 | 本学科首页   官方微博 | 高级检索  
     检索      

速变网络的自动化智能检测方法
引用本文:李晓茹.速变网络的自动化智能检测方法[J].内江师范学院学报,2013(12):12-14.
作者姓名:李晓茹
作者单位:太原大学外语师范学院,山西太原030012
基金项目:山西省教育科学十二五规划课题(GH-11170)
摘    要:僵尸网络是信息安全防范的重要方面,黑客为了掩饰僵尸网络的存在,利用速变网络技术隐藏攻击主机的真实网络位置.研究利用速变网络的特点,设计一种智能化速变网络检测方法,该方法针对速变网络技术的特征找出辨识特征量,进行检测与追踪,在系统可接受的时间、空间复杂度下设计速变网络检测的最佳速变网络反应对方法.该检测方法不仅可以有效减少检测时间,而且对于不同网络类型中的速变网络检测都有较高成功率.

关 键 词:僵尸网络  自动化  入侵检测  速变服务网络

Study on Automatic Intelligent Detection Method for Fast-Flux Service Network
LI Xiao-ru.Study on Automatic Intelligent Detection Method for Fast-Flux Service Network[J].Journal of Neijiang Teachers College,2013(12):12-14.
Authors:LI Xiao-ru
Institution:LI Xiao-ru(Foreign LanguageTeachers College, Taiyuan University, Taiyuan, Shanxi 030012, China)
Abstract:Botnet is a major risk in network security. Hackers, in order to cover up the existence of a Botnet, tend to attack the real network site of the host computer by aid of the Fast-Flux network technology. Based on the study of the characteristics of the Fast-Flux network, a new intelligent automatic detection method is designed. The said method can easily spot the variable characteristics of the Fast-Flux network technology so that it can detect and track the network. The new detection method, designed within the acceptable system load(acceptable time consumption, and acceptable space complexity), is the optimal coping device for the detection of a Fast-Flux network, which not only can immensely save the detection time, but also can achieve a rather high success ratio of Fast-Flux network detection under different network environments.
Keywords:botnet  automation  intrusion detection  fast-flux service network
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号