CAJ | 학술논문

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。
위료유효지연구강시망락전파과정중적특정변화，기우원포의군산법제출료일충신적각화방법BDCA(Botnet Detecting algorithm based on Cellular Ant)。해방법수선정의료강시망락중보통절점、역감염절점화감염절점지간적전화관계，건립부합강시망락전파특정적수학모형，병이용원포의군산법대상술모형진행구해，이차획득평형조건하적최우해。최후，이용NS2진행방진실험，심입분석료영향 BDCA 산법적관건인소。동시통과대비기타산법지간적성능상황，결과표명해산법구유교호적괄응성。
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.