针对网络恶意攻击并行入侵的仿真设计  

Design of Simulation Experiments for Parallel Intrusion of Malicious Network Attacks

作　　者：肖堃 XIAO Kun(School of Information and Software Engineering,University of Electronic Science and Technology of China,Sichuan Chengdu 611731,China)

机构地区：[1]电子科技大学信息与软件工程学院,四川成都611731

出　　处：《计算机仿真》2020年第3期292-296,共5页Computer Simulation

基　　金：教育部2018年第二批产学合作协同育人项目(201802027005)。

摘　　要：为了解决传统网络攻击入侵方案在进行网络恶意攻击并行入侵时,存在攻击入侵成功率低、恶意攻击节点失效率高、网络攻击入侵耗时长的问题,提出针对网络恶意攻击并行入侵实验。分析网络恶意攻击中的重要攻击手段—虫洞攻击和并行入侵的网络结构;在抗原信号的基础上,利用树突状细胞算法构建异度方程,确定特征阈值,以确定的特征阈值作为选择入侵路径概率的基础,完成对网络恶意攻击并行入侵的估计。最后通过仿真设计,证明了所提方案相比传统方案的攻击入侵成功率高、恶意攻击节点失效率低、网络攻击入侵耗时短,说明了所提方案的攻击入侵效果更佳,可为今后的网络防御工作提供良好的参考。This article puts forward a simulation design for parallel intrusion of network malicious attack.The network structure of wormhole attack and parallel intrusion was analyzed.On the basis of antigen signal,the dissimilarity equation was constructed by dendritic cell algorithm,and the feature threshold was determined.The feature threshold value was used as the basis for selecting the probability of intrusion path,so as to estimate the parallel invasion of network malicious attack.Simulation proves that the proposed scheme has higher success rate of attack intrusion,lower failure rate of malicious attack nodes and shorter time of network attack intrusion.Therefore,the proposed scheme has better effect in attack intrusion,which can provide a good reference for future network defense.

关 键 词：恶意攻击 并行入侵 抗原信号 树突状细胞算法 特征阈值 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]