包含蜜罐的WAF防止SQL注入和XSS攻击的新方法

Sapparapu Rahul, ChinmayeeSai Vajrala, B. Thangaraju
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引用次数: 4

摘要

在当今世界,互联网上有数十亿个应用程序持有大量用户数据,这自动增加了被黑客攻击的威胁。通常情况下,用户隐私和数据很容易受到损害。为了防止这种情况,Web应用程序防火墙(WAF)将发挥重要作用。在这项研究工作中,我们将探索使用一些机器学习模型来防止SQL注入和跨站脚本(XSS)。我们还将建议一种通过在网络架构中引入蜜罐来临时提高安全性的方法。这种独特的方法将通知应用程序的所有者采取必要的行动,同时向攻击者提供虚假的响应。
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A Novel Method of Honeypot Inclusive WAF to Protect from SQL Injection and XSS
In todays world, there are billions of applications on the internet holding a lot of user data which automatically increases the threat of being attacked by hackers. Often User privacy and data are Susceptible to being compromised. To prevent this situation, Web Application Firewalls (WAF) would play an important role. In this research work, we will be exploring on preventing SQL Injection and Cross-Site Scripting (XSS) with a few machine learning models. We will also be suggesting a method to improvise security by introducing a honeypot in the Network architecture. This unique approach will notify the owner of the application to take necessary actions while giving a fake response to the attackers.
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