论文部分内容阅读
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.
In order to solve the problem of severe network congestion caused by network worms, the network is divided into several regions according to the topological location of the router, and the direction of worm propagation is predicted. Two “probability of being infected by a single region” and “the probability of being infected by a single region” are proposed Early warning indicators, the use of fuzzy reasoning to get the alarm level of a single area.Alarm level is higher, indicating that the region is more likely to be infected by Internet worms in a short time, the area is the network worm propagation direction in the next moment. It shows that the model can calculate the regional alarm level in real time and accurately and predict the propagation direction of the network worm dynamically.