Evaluating classifiers’ performance to detect attacks in website traffic

A comprehensive evaluation of machine learning algorithms for web application attack detection with knowledge graph integration

M Ismail, S Alrabaee, KKR Choo, L Ali… - Mobile Networks and …, 2024 - Springer
The capability to accurately detect web application attacks, especially in a timely fashion, is
crucial but remains an ongoing challenge. This study provides an in-depth evaluation of 19 …
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Enhancing web traffic attacks identification through ensemble methods and feature selection

D Urda, B Martínez, N Basurto, M Kull, Á Arroyo… - arxiv preprint arxiv …, 2024 - arxiv.org
Websites, as essential digital assets, are highly vulnerable to cyberattacks because of their
high traffic volume and the significant impact of breaches. This study aims to enhance the …
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SQL injection and its detection using machine learning algorithms and BERT

S Lodha, A Gundawar - … Conference on Cognitive Computing and Cyber …, 2022 - Springer
SQL Injection attacks target the database of applications to extract private information or
inject malicious code. In this paper, we attempt to present a well-researched and practiced …
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