Comparative Analysis of Neural Network Models to detect and block open World Wide Application Security project Vulnerabilities on a Web Application (Automated Blocking)
The goal of the current study is to conduct a comparative analysis of neural network architectures based on vulnerabilities identified by Open Worldwide Application Security Project in a web application context. This study comes from a descriptive and quasi-experimental model and is real data based empirical research. Moreover, in this study we identify the study as applied as the research aims to establish practical knowledge in a subject area. Our dataset is historical (post event), and the research design used is descriptive-correlational.