Web-S4AE: a semi-supervised stacked sparse autoencoder model for web robot detection

Web robots are automated computer programs that can be exploited for benign and malicious activities such as website indexing, monitoring, or unauthorized content scraping and scalping. Several methods are available to detect automated web robots through their footprints and behaviors. Although the...

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Vydané v:	Neural computing & applications Ročník 35; číslo 24; s. 17883 - 17898
Hlavní autori:	Jagat, Rikhi Ram, Sisodia, Dilip Singh, Singh, Pradeep
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.08.2023 Springer Nature B.V
Predmet:	Artificial Intelligence Automation Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Decision trees Deep learning Image Processing and Computer Vision Machine learning Multilayer perceptrons Multilayers Original Article Probability and Statistics in Computer Science Robots Scalping Semi-supervised learning Software Web portals Deep learning Deep feature extraction Stacked sparse autoencoder Semi-supervised learning Web robot detection Machine learning
ISSN:	0941-0643, 1433-3058
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