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An Innovative Framework for the Detection and Prediction of Phishing Websites

机译:网络钓鱼网站检测和预测的创新框架

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摘要

With the advent of internet, various online attacks has been increased and among them the most popular attack is phishing.Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit card information from unsuspecting victims for identity theft, financial gain and other fraudulent activities. In recent years phishing is a technique used for cyber crimes. Spoofing is a new type of cyber crime in this globalisation era. Spoofing refers tricking computer systems or computer users by hiding one‟s identity or faking the identity of another user on the Internet.E-mail spoofing means sending messages from a bogus e-mail address or faking the e-mail ID of another user. This paper employs back propagation network for identifying malicious URL‟s in a network .It has been observed that the method predicts the phishing website more accurately when compared to any other learning algorithms.
机译:随着互联网的出现,各种在线攻击有所增加,其中最受欢迎的攻击是网络钓鱼。网络钓鱼是指个人或团体试图从毫无戒心的受害者那里获取个人机密信息,例如密码、信用卡信息,以进行身份盗用、经济利益和其他欺诈活动。近年来,网络钓鱼是一种用于网络犯罪的技术。在这个全球化时代,欺骗是一种新型的网络犯罪。欺骗是指通过在互联网上隐藏自己的身份或伪造其他用户的身份来欺骗计算机系统或计算机用户。电子邮件欺骗是指从虚假的电子邮件地址发送消息或伪造其他用户的电子邮件ID。本文采用反向传播网络来识别网络中的恶意URL。据观察,与任何其他学习算法相比,该方法可以更准确地预测网络钓鱼网站。

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