An efficient artificial intelligence approach for early detection of cross-site scripting attacks

An efficient artificial intelligence approach for early detection of cross-site scripting attacks

Cross-Site Scripting (XSS) attacks continue to pose a significant threat to web applications, compromising the security and integrity of user data. XSS is a web application vulnerability where malicious scripts are injected into websites, allowing attackers to execute arbitrary code in the victim’s...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Younas, Faizan (author)
مؤلفون آخرون:	Raza, Ali (author), Thalji, Nisrean (author), Abualigah, Laith (author), Abu Zitar, Raed (author), Jia, Heming (author)
منشور في:	2024
الموضوعات:	Artificial intelligence Machine learning Deep learning Feature fusion Feature engineering Cross-site scripting attacks
الوصول للمادة أونلاين:	https://depot.sorbonne.ae/handle/20.500.12458/1580
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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