HybridSentry: A Real-Time Detection Framework for XSS and CSRF Attacks Using Behavioral and Payload Analysis with Hybrid CNN-LSTM

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{200630,
        author = {Sarthak Ruhela},
        title = {HybridSentry: A Real-Time Detection Framework for XSS and CSRF Attacks Using Behavioral and Payload Analysis with Hybrid CNN-LSTM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2252-2269},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200630},
        abstract = {},
        keywords = {Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), Hybrid CNN-LSTM, TF-IDF Payload Vec- torisation, Behavioral Analysis, Real-Time Detection, Web Application Security, Deep Learning, OWASP A03:2021, Flask Security Dashboard, Threat Visualization.},
        month = {May},
        }

Cite This Article

Ruhela, S. (2026). HybridSentry: A Real-Time Detection Framework for XSS and CSRF Attacks Using Behavioral and Payload Analysis with Hybrid CNN-LSTM. International Journal of Innovative Research in Technology (IJIRT), 12(12), 2252–2269.

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