WEB VULNERABILITIES DETECTION USING A HYBRID MODEL OF CNN, GRU AND ATTENTION MECHANISM

WEB VULNERABILITIES DETECTION USING A HYBRID MODEL OF CNN, GRU AND ATTENTION MECHANISM

The frequency of cyber-attacks has been rising in recent years due to the fact that startup developers have failed to overlook security issues in the core web services. This stated serious concerns about the security of the web. Therefore, this paper proposes a hybrid model built on the base of Con...

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Bibliographic Details
Main Authors: Sarbast H. Ali, Arman I. Mohammed, Sarwar MA. Mustafa, Sardar Omar Salih
Format: Article
Language:English
Published: University of Zakho 2025-01-01
Series:Science Journal of University of Zakho
Subjects:
CNN
Web vulnerabilities
Deep Learning
XSS
SQL injection
Online Access:http://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/1404
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