A Novel Data Augmentation Technique and Deep Learning Model for Web Application Security

Web applications are often exposed to attacks because of the critical information and valuable assets they host. In this study, Bi-LSTM based web application security models were developed in order to detect web attacks and classify them into binary or multiple classes using HTTP requests. A novel d...

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Autores principales: Hacer Karacan, Mehmet Sevri
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/eaf8645eb10b476b8d107ee7292c1a89
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