LLM-AE-MP: Web Attack Detection Using a Large Language Model with Autoencoder and Multilayer Perceptron

Web applications store sensitive data, making them prime targets for cybercriminals and posing national security risks. This study introduces a new approach to distinguishing legitimate and malicious hypertext transfer protocol (HTTP) requests using an autoencoder (AE). The integration of AE allows...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 274; p. 126982
Main Authors:	Yang, Jing, Wu, Yuangui, Yuan, Yuping, Xue, Haozhong, Bourouis, Sami, Abdel-Salam, Mahmoud, Prajapat, Sunil, Por, Lip Yee
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.05.2025
Subjects:	Anomalous request Autoencoder Generative adversarial network Long short-term memory Reinforcement learning Web attack Long short-term memory Anomalous request Web attack Autoencoder Generative adversarial network Reinforcement learning
ISSN:	0957-4174
Online Access:	Get full text
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