Recognition and Processing of phishing Emails Using NLP: A Survey

Chunduru Anilkumar, Aravind Karrothu, Nandam Sri Mouli, Chaduvula Bhanu Tej
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Abstract

Email is preferred by both individuals and businesses as one of the most important forms of communication. Despite the popularity of alternatives like electronic communications, mobile applications, and social networks, email usage and importance have been raising continuously. Phishing is the fraudulent practice of stealing any person’s confidential information, such as financial details, login information etc. In which they look completely authentic and genuine and extremely hard for victim to detect whether the mail is spam or not. Moreover, the number of phishing emails is growing daily. So, handling of phishing emails is a crucial research issue. NLP techniques are useful for training data to detect spam content. In this work we studied leading research areas in phishing email detection and features used in spam emails. Feature extraction and selection plays a key role in phishing email detection. This paper also explains how actually the phishing attack happens and obtained results including information about concepts of natural language processing and working procedure.
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基于NLP的网络钓鱼邮件识别与处理研究
电子邮件作为最重要的沟通方式之一,受到个人和企业的青睐。尽管电子通信、移动应用程序和社交网络等替代品很受欢迎,但电子邮件的使用和重要性一直在不断提高。网络钓鱼是一种窃取他人机密信息的欺诈行为,如财务信息、登录信息等。在这种情况下,它们看起来完全真实和真实,受害者很难检测到邮件是否是垃圾邮件。此外,网络钓鱼邮件的数量每天都在增长。因此,处理网络钓鱼邮件是一个至关重要的研究问题。NLP技术对于训练数据以检测垃圾内容非常有用。在这项工作中,我们研究了网络钓鱼电子邮件检测的主要研究领域和垃圾邮件中使用的特征。特征提取与选择是网络钓鱼邮件检测的关键。本文还解释了网络钓鱼攻击的实际发生过程和得到的结果,包括自然语言处理的概念和工作流程。
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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