基于机器学习的网络钓鱼网站检测研究

Charu Singh, Meenu
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引用次数: 22

摘要

网络钓鱼攻击是当今世界以社会工程和恶意软件为基础的网络犯罪。这是每个个人和组织都面临的最危险的威胁之一。url被称为网络链接,用户通过它在互联网上定位信息。该评论提高了对网络钓鱼攻击的认识,检测网络钓鱼攻击,并鼓励读者进行网络钓鱼预防实践。在网络钓鱼中,钓鱼者使用电子邮件或消息作为武器,通过发送URL链接来瞄准个人或组织,并欺骗他们。由于每天收到的网络钓鱼邮件或信息数量庞大,公司或个人无法全部检测到。在这里,不同的评论给出了使用机器学习检测网络钓鱼攻击的方法。在这里,它用于检测网络链接,即,无论是网络钓鱼或合法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phishing Website Detection Based on Machine Learning: A Survey
Phishing attacks are cybercrime in today's world which are done by social engineering and malware based. It is one of the most dangerous threats that every individuals and organization faced. URLs are known as web links are by which users locate information on the internet. The review creates awareness of phishing attacks, detection of phishing attacks and encourages the practice of phishing prevention among the readers. In phishing, phishers use email or message, as a weapon to target individual or organization by send URL link to target people and to deceive them. With the huge number of phishing emails or messages received every day, companies or individuals are not able to detect all of them. Here, different reviews give for detection of phishing attack, by using machine learning. Here it is used for detecting the web links, i.e., either phishing or legitimate.
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