具有变化感染率的僵尸网络传播模型

僵尸网络对网络安全的威胁已经引起了众多安全研究专家的高度重视。数学建模是研究僵尸网络传播特性 的一种有效方法。现有的僵尸网络传播模型假设感染率是常量。事实上，大量僵尸病毒爆发时会引起网络拥塞，从而 导致感染变慢。针对这一特点，提出一个具有变化感染率的僵尸网络传播模型。根据Intetne、的实际情况，在模型中 加入了预先免疫特征项。最后通过matlab模拟对比了提出的模型与已有模型在反映僵尸网络感染时的差异。实验 结果表明，具有变化感染率的僵尸网络传播模型能更准确地反映实际网络中僵尸程序的传播规律。

Botnet Propagation Model with Variable Infection Rate

The threat of botnet on network security has been attached great importance by many security search ex- pens. Mathematical modeling is a kind of effective method to study botnet propagation. Existing botnet propagation models assume that infection rate is constant. However in fact, network congestion will be caused when a large number of botnet viruses rampant. Against this backdrop, a botnet propagation model with variable infection rate was proposed, which considers pre-immunity according to the real situation of Internet. Finally, the difference of botnet infection be- tween the model of this paper and existing models was depicted in matlab. Experimental results show that the botnet propagation model with variable infection rate is more accurate to reflect the practical propagation law of hots.