基于计算机视觉的网络钓鱼网页检测框架

Ionut Cernica, N. Popescu
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引用次数: 3

摘要

当今互联网上最危险的威胁之一是网络钓鱼攻击。这种类型的攻击可能导致数据泄露,并导致公司的形象和财务损失。利用这类攻击的最常见技术是向目标用户发送电子邮件,欺骗他们将凭据发送到攻击者服务器。如果用户单击了来自电子邮件的链接,则需要进行良好的检测以保护用户凭据。许多论文认为计算机视觉是一种很好的检测技术,但我们将解释为什么这种解决方案在一些重要的环境中会产生大量的误报。本文针对计算机视觉检测技术所面临的挑战,提出了将多种技术与计算机视觉技术相结合的方法来解决这些挑战。我们还将介绍一种检测网络钓鱼攻击的方法,该方法将与所提出的组合技术一起工作。
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Computer Vision Based Framework For Detecting Phishing Webpages
One of the most dangerous threats on the internet nowadays is phishing attacks. This type of attack can lead to data breaches, and with it to image and financial loss in a company. The most common technique to exploit this type of attack is by sending emails to the target users to trick them to send their credentials to the attacker servers. If the user clicks on the link from the email, then good detection is needed to protect the user credentials. Many papers presented Computer Vision as a good detection technique, but we will explain why this solution can generate lots of false positives in some important environments. This paper focuses on challenges of the Computer Vision detection technique and proposes a combination of multiple techniques together with Computer Vision technique in order to solve the challenges we have shown. We also will present a methodology to detect phishing attacks that will work with the proposed combination techniques.
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