N-Gram模型下网络客户端病毒防御方法仿真  

Simulation of Network Client Virus Defense Method under N-Gram Model

作　　者：孙茜[1] 吴鸣[2] SUN Qian;WU Ming(School of Information Engineering,Jiangxi University of Technology,Nanchang Jiangxi 330098,China;Nanchang University,Nanchang Jiangxi 330031,China)

机构地区：[1]江西科技学院信息工程学院,江西南昌330098 [2]南昌大学,江西南昌330031

出　　处：《计算机仿真》2022年第10期400-404,共5页Computer Simulation

摘　　要：针对当前的客户端病毒防御方法无法获取病毒的特征向量,导致病毒防御不具有针对性等问题,提出一种基于N-Gram模型的网络客户端病毒防御方法。分析不同长度的N-Gram特征对网络客户端病毒检测的效果,并通过N-Gram模型获取病毒的特征向量,整合特征选择的详细操作步骤。将距离相似度检测技术和决策算法相结合检测网络客户端病毒,设计网络客户端病毒防御流程。当检测到病毒入侵后,评估病毒危险等级,制定病毒防御策略。仿真证明了所提方法能够有效防御网络客户端病毒。Currently, due to the lack of virus feature vectors, some approaches to virus defense are not targeted. Based on the N-Gram model, a method of defending against network client viruses was proposed. Firstly, the effect of virus detection for network clients was analyzed by the N-Gram feature with different lengths, and then feature vectors of viruses were obtained by the N-Gram model. Secondly, detailed steps of feature selection were integrated. Moreover, the distance similarity detection technology was combined with a decision algorithm to detect the network client virus and design the network client virus defense process. When a virus intrusion was detected, the risk level was assessed and the strategy of virus defense was developed immediately. Simulation results prove that the proposed method can effectively defend against network client viruses.

关 键 词：模型 网络客户端 病毒防御 决策算法 

分 类 号：TP309.5[自动化与计算机技术—计算机系统结构]