基于SVM算法的宏病毒处理模型研究  

Research on Macro Virus Processing Model Based on SVM Algorithm

作　　者：张丽 ZHANG Li(Nanjing University of Science and Technology Zijin College,Nanjing 210000,Jiangsu)

机构地区：[1]南京理工大学紫金学院计算机学院,江苏南京210000

出　　处：《电脑与电信》2022年第1期41-45,共5页Computer & Telecommunication

基　　金：江苏高校哲学社会科学研究项目,项目编号:2021SJA2257。

摘　　要：宏病毒是存在于Office文档中的病毒,虽然传统杀毒软件可以扫描已有宏病毒,但是对于新出现的宏病毒处理仍然存在不足。使用机器学习的方法,通过比较正常宏和有害宏的特征不同,提出了一种新的宏特征选择方法,并使用SVM算法训练得到分类模型。结合分类模型和宏自身的病毒特征进行综合判断,从而可以达到对新出现宏的类别预测。实验结果表明,采用该模型成功率可以达到83.61%。The macro virus is a virus that exists in the Office document.Although the traditional anti-virus software can scan the existing macro viruses,there are still shortcomings in the new macro virus.By using the method of machine learning,a new macro feature selection method is proposed by comparing the characteristics of normal macro and harmful macro,and the SVM algorithm is used to train the classification model.Combined with the classification model and the macro's own virus characteristics,we can make a comprehensive judgment,so that we can predict the new macro categories.The experimental results show that the success rate can achieve 83.61%in this model.

关 键 词：宏病毒 机器学习 SVM 特征选择 病毒特征 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]