Enhancing Web Security: A Comparative Analysis of Machine Learning Models for CSRF Detection

Author:

Ramadan Mohamed1,Osama Bassem1,Zaher Moamen1,Mansour Hesham1,El Sersi Wael1

Affiliation:

1. October University for Modern Sciences and Arts (MSA),Faculty of Computer Science,Giza,Egypt

Publisher

IEEE

Reference21 articles.

1. Machine learning for detection and mitigation of web vulnerabilities and web attacks;Shahid;arXiv preprint,2023

2. Defences Against web Application Attacks and Detecting Phishing Links Using Machine Learning

3. Study of Cross-Site Request Forgery on Web-Based Application: Exploitations and Preventions

4. Web vulnerability detection: The case of cross-site requestforgery;Kumara;International Journal For Advanced Research In Science & Technology,2022

5. A Review of Common Web Application Breaching Techniques (SQLi, XSS, CSRF)

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