Web application attacks detection using deep learning.

In this thesis, we present the use of deep learning techniques to improve the performance of Web Application Firewalls (WAFs), systems that are used to detect and prevent attacks to web applications. Typically a WAF inspects the HyperText Transfer Protocol (HTTP) requests that are exchanged between...

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Bibliographic Details

Main Author:	Montes De Marco, Nicolás (author)
Format:	masterThesis
Language:	English Spanish
Published:	2021
Subjects:	Web Application Firewall Detección de Anomalías Aprendizaje Profundo Anomaly Detection Deep Learning Transformers
Online Access:	https://hdl.handle.net/20.500.12008/50829
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