基于元胞蚁群算法的僵尸网络传播特征研究  

The study of spread characteristic in botnet based on cellular ant algorithm

作　　者：赵攀[1] 江宇波[1] 魏正曦[1] 

机构地区：[1]四川理工学院计算机系,自贡643000

出　　处：《四川大学学报（自然科学版）》2014年第2期267-272,共6页Journal of Sichuan University(Natural Science Edition)

基　　金：国家自然科学基金(60372013);四川省教育厅重点项目(13ZA0118);人工智能四川省重点实验室开放基金项目(2012RYY02);四川理工学院培育项目(2012PY13)

摘　　要：为了有效地研究僵尸网络传播过程中的特征变化,基于元胞蚁群算法提出了一种新的刻画方法BDCA(Botnet Detecting algorithm based on Cellular Ant).该方法首先定义了僵尸网络中普通节点、易感染节点和感染节点之间的转化关系,建立符合僵尸网络传播特征的数学模型,并利用元胞蚁群算法对上述模型进行求解,以此获得平衡条件下的最优解.最后,利用NS2进行仿真实验,深入分析了影响BDCA算法的关键因素.同时通过对比其他算法之间的性能状况,结果表明该算法具有较好的适应性.In order to mitigate the characteristic changes in Botnet spread process,a novel depicted meth-od （Botnet Detecting algorithm based on Cellular Ant,BDCA）is proposed by cellular ant algorithm.In this method,the transformation relationships between ordinary nodes,susceptible nodes and infected nodes are defined,and the mathematical model which is match Botnet spread characteristic is built. Then,the optimal solution under stable conditions is solved by cellular ant algorithm.Finally,a simula-tion with NS2 was conducted to study the key factors of BDCA.Compared to other algorithm perform-ance,the results show that,BDCA has better adaptability.

关 键 词：僵尸网络 特征 感染 元胞蚁群 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]