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Machine Learning for Detection and Mitigation of Web Vulnerabilities and Web Attacks. (arXiv:2304.14451v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Detection and mitigation of critical web vulnerabilities and attacks like
cross-site scripting (XSS), and cross-site request forgery (CSRF) have been a
great concern in the field of web security. Such web attacks are evolving and
becoming more challenging to detect. Several ideas from different perspectives
have been put forth that can be used to improve the performance of detecting
these web vulnerabilities and preventing the attacks from happening. Machine
learning techniques have lately been used by researchers to defend against …
attacks critical cross-site cross-site request forgery csrf detect detection forgery great ideas machine machine learning mitigation perspectives request scripting security vulnerabilities web web security web vulnerabilities xss