检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]河南职业技术学院信息工程系,河南郑州450046
出 处:《计算机应用与软件》2013年第7期180-184,共5页Computer Applications and Software
基 金:河南省教育厅自然科学研究计划项目(2011C20019)
摘 要:主要研究不同网络拓扑下的僵尸网络Botnet传播行为,重点研究基于两种加权网络下的僵尸网络传播特性。基于经典加权网络(BBV网络)的演化规则,在随机权重的基础上,提出随机增量的加权演化模型;通过模型仿真,发现基于随机加权的网络与其它两种网络拓扑下僵尸网络相比,表现出更强的健壮性,这与建模时的理论分析完全一致。仿真结果表明,与无标度网络下的传播模型相比,基于加权网络的传播模型更符合僵尸网络在实际网络中的传播特性。In this paper, we mainly study the propagation behaviour of botnet based on different network topologies, the emphasis is put on studying the propagation characteristics of hornet based on two kinds of weighted networks. According to the classic weighted network the BBV network, we propose the weighted evolution model of random incremental which is on the basis of random weights. Through the model simulation, we find the network based on random weighting shows higher robustness compared with the botnet based on other two kinds of net- works topologies, and this is in good agreement with the theory analysis when modelling. Simulation result demonstrates, comparing with the propagation model of hornet based on scale-free network, the model based on weighted networks is more in accord with the propagation charac- teristics of a botnet in actual networks.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.15