Phishing Email’s Detection Using Machine Learning and Deep Learning

Nishant Santosh Paradkar
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Abstract

In today’s world, all of us are dependent on emails. Emails are a very efficient and fast way of sending a message to someone. But malicious users often use it to send fraudulent emails with fake links that steal user credentials like credit card details, login-id, passwords, etc. These emails are called phishing emails. These emails constitute identity fraud as the emails are interpreted to be from banks or other multinational companies. Many existing solutions require the user to check for grammar errors, check the email-id, or avoid clicking any links. But all these actions require human involvement. In this paper, I have implemented and compared current Machine Learning and Deep Learning techniques used with Natural Language Processing to detect phishing emails and achieved an accuracy of 98%.
使用机器学习和深度学习的网络钓鱼电子邮件检测
在当今世界,我们所有人都依赖电子邮件。电子邮件是向某人发送信息的一种非常有效和快速的方式。但恶意用户经常使用它来发送带有虚假链接的欺诈性电子邮件,窃取用户凭证,如信用卡详细信息,登录id,密码等。这些邮件被称为网络钓鱼邮件。这些电子邮件被解释为来自银行或其他跨国公司,构成身份欺诈。许多现有的解决方案要求用户检查语法错误、检查电子邮件id,或者避免单击任何链接。但所有这些行动都需要人类的参与。在本文中,我实现并比较了使用自然语言处理的当前机器学习和深度学习技术来检测网络钓鱼电子邮件,并达到了98%的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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