基于随机矢量共振的网络病毒动态交互抑制模型  

Network virus dynamic interaction suppression model based on random vector resonance

作　　者：朱亚东[1] 

机构地区：[1]江苏联合职业技术学院南京工程分院,江苏南京211135

出　　处：《电子设计工程》2016年第6期26-28,共3页Electronic Design Engineering

摘　　要：通过对网络病毒的抑制模型设计,实现对病毒的有效检测和拦截,提高网络安全性。传统的网络病毒抑制模型采用静态局部检测方法,对攻击病毒的结构层次交互抑制效果不好。提出一种基于随机矢量共振的网络病毒动态交互抑制模型。构建病毒入侵的传播路径分析,进行数学演化聚类描述,通过随机矢量共振对病毒的入侵路径进行向量合成,分析病毒演化趋势稳态权向量,进行数学演化聚类率,实现动态交互抑制。研究结果表明,采用该方法进行网络病毒动态交互抑制,提高了对病毒的抑制能力,从而提高检测概率,保证网络安全。Through the design of network virus inhibition model, realize the effective detection and interception of the virus,improve network security. The traditional network virus inhibition by static local detection model, structure of virus attacks the reciprocal inhibition effect is not good. This paper presents an interactive model of network virus inhibition dynamic random vector based on resonance. Analysis of the propagation path of the virus, the mathematical description of the evolutionary clustering, vector synthesis through the path of the invasion of random vector resonance of the virus, virus evolution trend of steady state analysis of the weight vector, mathematical evolutionary clustering rate, to achieve dynamic interaction inhibition.The results of the study show that, using the method of dynamic network virus reciprocal inhibition, improves the ability to suppress the virus, so as to improve the probability of detection, network security.

关 键 词：网络病毒 随机矢量 检测 动态交互 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]