摘要
为提高恶意域名检测的准确性,设计了一个云存储网络映射密文搜索的恶意域名检测方法。首先在相关网站中获取恶意域名基础数据,对其进行预处理,特征时间、响应报文特征、域名特征,依据特征提取结果,采用随机森林方法对全部域名进行过滤处理,对恶意域名与正常域名分类处理,获取恶意停靠域名,实现云存储网络映射密文搜索的恶意域名检测。实验结果表明,所研究的云存储网络映射密文搜索的恶意域名检测方法提高了恶意域名检测准确性,检测召回率较高,并减少了检测时间,具有一定的有效性。
A malicious domain name detection method for cloud storage network mapping ciphertext search was designed to improve the accuracy of malicious domain name detection. Firstly, Firstly, obtain the basic data of malicious domain names from relevant websites, preprocess them, feature time, response message characteristics and domain name characteristics;Then, filter all domain names by random forest method according to the feature extraction results;Next, classify malicious domain names and normal domain names and obtain malicious parked domain names;Finally, realize malicious domain name detection of ciphertext search in cloud storage network mapping. The experimental results show that this method can improve detection accuracy, and achieve high detection recall and short detection time.
作者
陈晓飞
姚翔
贾勇
CHEN Xiao-fei;YAO Xiang;JIA Yong(Xinjiang Institute of Engineering,Department of Information Engineering,Urumqi Xinjiang 830023,China;Xinjiang Normal University,College of Chemical Engineering,Urumqi Xinjiang 830054,China)
出处
《计算机仿真》
北大核心
2021年第11期399-403,共5页
Computer Simulation
关键词
云存储
密文搜索
恶意域名
特征提取
Cloud storage
Ciphertext search
Malicious domain name
Feature extraction
