摘要
如今的互联网行业欣欣向荣,但也滋生出如垃圾信息轰炸、钓鱼网站盗取信息等问题。为解决最为突出的恶意捆绑软件下载的问题,设计了针对捆绑软件的拦截与清除系统,系统使用特征值匹配、云查杀、文本分析等技术实现了对新软件的下载前过滤、安装中检查、使用时监督的防护功能。本系统大小约为同类样本平均值的48.4%。在预防恶意捆绑软件下载功能,系统的页面检测准确性指标与资源占用指标分别高于同类软件平均得分的6%与13%。
Today’s Internet industry is thriving,but it also breeds problems such as spam bombing and phishing websites stealing information.In order to solve the most prominent problem of malicious bundled software download,this paper designs an interception and removal system for bundled software,and the system uses feature value matching,cloud killing,text analysis and other technologies to realize the protection functions of filtering before downloading,checking during installation,and supervising the use of new software.The system size is approximately 48.4%of the average of the similar products.In the function of preventing malicious bundled software downloads,the page detection accuracy index and resource occupation index of the system are 6%and 13%higher than the average scores of similar software,respectively.
作者
刘毓彬
叶传奇
张少博
朱溪洋
秦梦雯
刘晓雨
Liu Yubin;Ye Chuanqi;Zhang Shaobo;Zhu Xiyang;Qin Mengwen;Liu Xiaoyu(School of Software Institute,Henan University of Science and Technology,Luoyang 471003,China)
出处
《现代计算机》
2023年第16期81-86,98,共7页
Modern Computer
基金
河南科技大学2022年度大学生研究训练计划(SRTP)项目(2022257)。
关键词
计算机软件与理论
捆绑软件
特征值匹配
系统安全
文本分析
computer software and theory
bundling software
eigenvalue matching
system security
text analytics
