随着计算机网络的快速发展与普及化程度的日益增加，越来越多的终端接入互联网（如智能手机、平板电脑），各种创新应用及功能多样的网络服务正丰富和便利着人们的生活，充满便利和新鲜感的网络正吸引着大量用户加入互联网的信息流通当中，人们每天都要进行大量的信息交换（如网页浏览、应用下载、收发email），这些信息中除了方便用户工作、生活的有用信息外还存在着大量的无用垃圾信息，甚至是有害的病毒，而人们通常以极快的速度和较低的防备心理去处理网络信息。信息的快速交换及用户的无意识操作给计算机病毒创造了极佳的传染环境，因此，计算机病毒的防治已经成为计算机网络发展中较为重要的研究课题。在诸多计算机病毒中，蠕虫病毒以其传播时间短，影响范围大，破坏程度高等特点越来越受到人们的关注。 蠕虫病毒通常利用计算机漏洞进行传播，并在短时间之内呈现爆发式增长，在带来巨大的经济损失的同时引起社会恐慌，2017年5月12日爆发的WannaCry 蠕虫病毒[1]，呈现出这样的趋势，同时近年蠕虫病毒的攻击对象已从传统的PC端向移动端进行发展，[2]中所描述的多种形态的手机蠕虫病毒正在威胁着移动端网络的信息安全。 在以往的研究中，大多数的蠕虫对抗模型只考虑到计算机同时受到一种蠕虫攻击的情况，本文将着重讨论在susceptible-infected-susceptible （SIS）模型中，双蠕虫交互的情况下用户采用一种良性蠕虫对抗两种恶性蠕虫感染时用户的最低损耗，运用微分方程建立感染模型，在合理系统假设条件下，运用Matlab进行仿真模拟，并详细分析了感染率，系统基础代价等参数对传播过程的影响。 本文的结果如下：首先运用微分博弈的思想进行建模分析，得出了在两种蠕虫同时攻击计算机时，计算机进行反击将付出的代价；其次通过仿真模拟，得到了较为可靠的反击策略，最后讨论了在真实情况下，可能出现的偏差以及今后可进一步优化本模型的方向。

At nowadays, because of the network is developed by a real speed. More and more people like going to join in the network by the mobile terminal (like smartphones and tablet computers). So many new APPs and well-suited web services make people in the more convenient life, full of convenience and freshness feelings is attracting a great quantity human into the network news flow. Users always exchange their information like browse webpages, download APPs, and check emails). But there are so many spams hide in the real messages, something in spam is just garbage and there is also virus into the spams or even hide in the real messages. People who use the network always check the information in fast, so that is easy to infect or propagate the virus. For this reason, the computer virus is become the problem that we have to solve if we want to develop the network. And the worms which could make tens of thousands of computers paralyzed just one night, become the focus in some scholar’s eyes. The worms are spread from main engine to other computers by the system bugs, which been infected always bring about a great catastrophe in a short time. Not only that, it will make both a huge financial lost and forceful social panic, like WannaCry that broke out in 2017.5.12[1]. Simultaneously, worms become to attack on ios&android not only threaten the security of traditional network. The phone worms which have polytrophic forms is threaten the security of mobile network. In the former study, most worm-counter model just thinking about what should we do when one worm attacking. This essay will discuss in susceptible-infected-susceptible (SIS) model when two worms interact how to decrease the user’s loss by compete two worms use ant worm. By using differential equation make a model and apply MatLab to analyze the infection rate and other parameters’ impress on the communication process. The result as follows: First, we use the differential game to make a model and analyzed. What we found is when computers attacking by two worms the system’s cost. And from analog simulation, we fount a reliable counter-offensive defense. Finally, we discuss the deviation will arise in the real case, and what could be optimized later.