基于网络神经系统的网络安全机制仿真方法  

Network security mechanism simulation method based on network nervous system

作　　者：颜廷良 童莲 YAN Ting-liang;TONG Lian(Nanjing NARI Information&Communication Technology Co.,Ltd.,Nanjing 210003,China;Jiangsu Maritime Institute,Lianyungang 211199,Jiangsu Province,China)

机构地区：[1]南京南瑞信息通信科技有限公司,南京210003 [2]江苏海事职业技术学院,江苏连云港211199

出　　处：《信息技术》2023年第5期153-158,共6页Information Technology

摘　　要：为了防范计算机网络基础设施攻击,提出一种仿生网络神经系统方法。该方法保护机制包括信息收集和处理的分布式过程,可协调计算机网络主要设备活动,识别攻击类型,并确定必要的对策;利用集合论方法将攻击和保护机制定义为结构模型和保护机制的模拟环境。实验证明了保护机制的有效性,为计算机网络安全防护机制研究提供借鉴。In order to prevent computer network infrastructure attack,a bionic network neural system method is proposed.The protection mechanism of this method includes a distributed process of information collection and processing,which can coordinate the activities of main equipment in the computer network,identify the types of attacks,and determine the necessary countermeasures.The set theory is used to define the attack and protection mechanism as structural model to protect the simulation environment of the mechanism.Experiments prove the effectiveness of the protection mechanism,and provide reference for the research of computer network security protection mechanism.

关 键 词：网络神经系统 基础设施攻击 保护机制 集合论 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]