基于大数据分析的钓鱼网站监测研究与应用  

Research and Application of Fishing Website Monitoring Based on Large Data Analysis

作　　者：周小松[1] 

机构地区：[1]武汉职业技术学院文化与传媒学院,湖北武汉430074

出　　处：《武汉职业技术学院学报》2016年第5期79-81,共3页Journal of Wuhan Polytechnic

摘　　要：钓鱼网站通常是指伪装成银行及电子商务等网站,主要危害是窃取用户提交的银行账号、密码等私密信息。在移动互联网时代,伪基站盛行、集团客户管理宽泛、即时通APP应用泛滥,为钓鱼网站提供了温床。针对钓鱼网站盛行的现状,分析了钓鱼网站的特征,指出去传播路径,提出了基于大数据分析的钓鱼网站主动监测与基于IP地址封堵的钓鱼网站抑制方法。Fishing sites usually refer to those which disguised as banks and e-commerce sites. The main harm is to steal the user＇ bank account number, password and other private information. In the mobile Internet era, the pseu-do-base stations are popular, group customer management is extensive, real-time APP application is flooded, which provide a breeding ground for phishing sites. According to the status quo of fishing websites, this paper analyzed the characteristics of fishing websites and pointed out the path of transmission. Then put forward the solution to active mon-itoring of fishing websites based on large data analysis and fishing website blocking based on IP addresses.

关 键 词：钓鱼网站 用户隐私 即时通软件 伪基站 DNS 

分 类 号：TP393.081[自动化与计算机技术—计算机应用技术]