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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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/eaf8645eb10b476b8d107ee7292c1a89 |
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