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机译:用于检测网络钓鱼电子商务网站的域特征增强分类模型
Department of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA,School of Management & Economics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China;
School of Management & Economics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China;
School of Management & Economics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China;
Department of Management Information Systems, College of Business & Economics, Chung-Ang University, 84 HeukSeok-Ro, Dongjak-Gu, Seoul, Korea 156-756,College of Business and Economics, Chung-Ang University, 84 HeukSeok-Ro, Dongjak-Gu, Seoul, Korea 156-756;
Phishing websites; E-business; Classification; Detection; Feature vectors;
机译:基于URL和内容特征方法的印尼钓鱼网站分类模型
机译:分类算法检测网络钓鱼网站的比较
机译:网络钓鱼网站检测智能协会分类技术
机译:基于遗传算法的中国网络钓鱼电子商务网站检测模型
机译:对网络钓鱼检测特征的分类,并使用特征向量对网络钓鱼网站进行分类
机译:使用函数树及其变体的实证分析改善网络钓鱼网站检测
机译:使用智能数据挖掘技术的网络钓鱼网站检测。一种基于智能关联分类挖掘模糊的网络钓鱼网站检测方案的设计与开发,重点是电子银行。