Bakır, R., & Bakır, H. (2025). Swift Detection of XSS Attacks: Enhancing XSS Attack Detection by Leveraging Hybrid Semantic Embeddings and AI Techniques. Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 50(2), 1191-1207. https://doi.org/10.1007/s13369-024-09140-0
ISO-690 (author-date, English)BAKIR, Rezan und BAKIR, Halit, 2025. Swift Detection of XSS Attacks: Enhancing XSS Attack Detection by Leveraging Hybrid Semantic Embeddings and AI Techniques. Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). 15 Januar 2025. Vol. 50, no. 2, p. 1191-1207. DOI 10.1007/s13369-024-09140-0.
Modern Language Association 9th editionBakır, R., und H. Bakır. „Swift Detection of XSS Attacks: Enhancing XSS Attack Detection by Leveraging Hybrid Semantic Embeddings and AI Techniques.“. Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), Bd. 50, Nr. 2, Januar 2025, S. 1191-07, https://doi.org/10.1007/s13369-024-09140-0.
Mohr Siebeck - Recht (Deutsch - Österreich)Bakır, Rezan/Bakır, Halit: Swift Detection of XSS Attacks: Enhancing XSS Attack Detection by Leveraging Hybrid Semantic Embeddings and AI Techniques., Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) 2025, 1191-1207.
Emerald - HarvardBakır, R. und Bakır, H. (2025), „Swift Detection of XSS Attacks: Enhancing XSS Attack Detection by Leveraging Hybrid Semantic Embeddings and AI Techniques.“, Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), Vol. 50 No. 2, S. 1191-1207.