A novel Phishing classification based on URL features
A novel Phishing classification based on URL features
复制标题
一种基于URL特征的新型网络钓鱼分类方法
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Y. Iraqi
中科院分区：
文献类型：
--
作者：
Mahmoud Khonji;Andrew Jones;Y. Iraqi
网络钓鱼是通过电子通信渠道通过社会工程非法获取数据的过程。根据反网络钓鱼工作组（APWG）1的报告，网络钓鱼攻击的数量和复杂程度都在不断增长。因此，对改进网络钓鱼检测方法的需求增加。我们引入了一个简单而新颖的网络钓鱼分类功能，旨在通过检测网络钓鱼攻击的子集来补充现有的分类器。
Phishing is the process of illicitly obtaining data through social engineering via electronic communication channels. As reported by the Anti-Phishing Working Group (APWG)1, Phishing attacks are growing in volume and sophistication. As a result, the need to improve Phishing detection methods increases. We introduce a simple and novel Phishing classification feature that aims toward supplementing existing classifiers by detecting a subset of Phishing attacks.