AI capabilities in cybersecurity: detection, prevention and response to SQL injections, XSS, and CSRF attacks
D. E. Vilkhovsky · Matematičeskie struktury i modelirovanie · 2024
The paper provides an overview of the possibilities of using arti cial intelligence to enhance the cybersecurity of web applications, with an emphasis on detecting, preventing, and responding to SQL injections, XSS, and CSRF attacks. Machine learning methods such as SVM, Naive Bayes, ensemble learning, and deep learning are discussed, as well as their integration with existing security systems. Hybrid models and approaches to adapting systems to new threats are included. Existing problems are analyzed and future research directions for overcoming these challenges are identi ed.