僵尸网络传播特征刻画方法  

Depicted methed of botnet spread characteristic

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,四川自贡643000

出　　处：《计算机工程与设计》2014年第4期1147-1151,共5页Computer Engineering and Design

基　　金：四川省教育厅重点基金项目(13ZA0118);人工智能四川省重点实验室开放基金项目(2012RYY02);四川理工学院培育基金项目(2012PY13)

摘　　要：针对僵尸网络传播过程中的节点转化关系,基于元胞退火算法提出了一种刻画方法 (botnet detecting algorithm based on cellular annealing,BDCA)。通过定义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,建立平衡条件下的最优目标函数,并利用元胞退火算法对目标函数进行求解。利用OPNET进行仿真实验,对比分析了该算法与其它算法之间的性能状况,并深入研究了影响BDCA算法的关键因素。实验结果表明了该算法具有较好的适应性。To depict the ransformation relationship in botnet spread process, a novel depicted method （botnet detecting algorithm based on cellular annealing, BDCA） is proposed by cellular annealing algorithm. In this method, the transformation relationships between ordinary nodes, susceptible nodes and infected nodes are defined, and the optimal objective function is built which is solved by cellular annealing. Then, a simulation with OPNET is conducted to study the performance between BIN2A and other algorithms, and the influence of key factors for BDCA is deeply presented. The results show that, BDCA has better adaptability.

关 键 词：僵尸网络 传播 感染 元胞退火 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]