目标网络节点在集群式攻击下的损伤评定方法  

Damage Assessment Method of Target Network Node under Cluster Attacks

作　　者：甘泉[1] 宁光芳[2] 

机构地区：[1]平顶山学院计算机科学与技术学院,河南平顶山243000 [2]郑州大学体育学院,河南郑州450044

出　　处：《计算机仿真》2014年第5期327-330,350,共5页Computer Simulation

基　　金：河南省重点科技攻关项目(132102210475)

摘　　要：研究群攻击下目标网络节点的损伤优化评定问题。当目标网络节点受到集群式攻击时,由于群内个体攻击的方式不同,不同的集群入侵攻击对网络目标节点造成的伤害程度不同且无法计算。传统的网络攻击损害评定方法需要准确掌握不同攻击对节点的损伤,由于集群攻击的特殊性,导致对目标网络节点的损伤程度评定不准。提出利用灰色关联度评定算法的群攻击入侵下对目标网络节点的损伤评定方法。根据AHP相关理论,建立差异化目标网络节点损伤判别矩阵,获取不同网络节点损伤特征权值系数。建立网络节点损伤评定集合,计算评定对象与评定指标之间的灰色关联度,构成目标网络节点损伤评定关联度矩阵。实验结果表明,利用改进算法进行群攻击入侵下目标网络节点损伤评定,可以有效提高损伤评定的准确度,缩短损伤评定时间,保证了网络安全。The damage assessment method of target network nodes under cluster attacks was studied. This paper presented the damage assessment method of target network node under cluster attacks base on grey correlatiorl evaluation algorithm. According to AHP theory, a damage discriminant matrix of differentiation target network nodes was es- tablished, and the weight coefficient of damage feature for different network nodes was obtained. Building a network node damage evaluation set, the grey correlation degree between evaluation indexes and evalua＊ion object was calcu- lated, which forms a damage assessment correlation matrix of target network nodes. The experimental results show that the improved algorithm for attack damage evaluation of target network nodes can effectively improve the accuracy of damage assessment., shorten the time of damage assessment, and guarantee the network security.

关 键 词：群攻击 入侵 损伤评定 

分 类 号：F127[经济管理—世界经济]