摘要
为了解决网络蠕虫造成网络严重拥塞的问题,根据路由器的拓扑位置把网络划分成若干区域,预测蠕虫传播方向,提出"单个区域被传染时间"和"单个区域被感染概率"两项预警指标,采用模糊推理得到单个区域的警报等级.警报等级越高,说明区域在短时间内被网络蠕虫感染的可能性就越大,该区域是网络蠕虫在下一时刻的传播方向.仿真实验结果表明,该模型能够实时、准确地计算出区域警报等级,动态地预测网络蠕虫的传播方向.
It is important to predict the propagation direction of network worm for dealing with network congestion caused by worm.Network was divided into some areas according to topological location of routers.Two early warning indexes,single-area-infected-time and single-area-infected-probability,were given.Area-alert-level was calculated by fuzzy reasoning.The higher alert level,the more probably the corresponding area was infected by worm in short time,and this area was the propagation direction of worm in the near future. Simulation results show that area alert-level can be calculated correctly and timely and the propagation direction of worm can be predicted dynamically by the proposed model.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2009年第10期13-16,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国防"十一五"预研项目(C0820061362-06
A1420080183)
国家高技术研究发展计划资助项目(2007AA01Z464)
关键词
预警
网络蠕虫
传播方向
单个区域被传染时间
单个区域被感染概率
early warning
network worm
propagation direction
single-area-infected-time
single-area-infected-probability