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P. Sobolev

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Open access Aug 2026

Web application attack detection based on a combination of transformers, convolutional neural network, and multilayer perceptron

Given the steady increase in the number of attacks on web applications, the task of automatically detecting such attacks requests remains one of the key challenges in information security. The aim of this work is to develop a new hybrid approach to detecting attacks on web applications in which the feature extraction s...

P. Sobolev, I. Kotenko · 0 citations
Aug 2026

Web Application Attack Detection Methodology Based on a Combination of Gradient Boosting, Transformers, and Neural Networks

The aim of the research is to develop a technique for detecting attacks on web applications based on a cascade approach, which allows combining a quick initial analysis of incoming requests with a more detailed classification of potentially dangerous traffic.

P. Sobolev, I. Kotenko · 0 citations

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