Cross-site scripting attack detection based on a modified convolution neural network

Cross-site scripting (XSS) attacks are currently one of the most threatening network attack methods. Effectively detecting and intercepting XSS attacks is an important research topic in the network security field. This manuscript proposes a convolutional neural network based on a modified ResNet blo...

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Detalles Bibliográficos
Autores principales: Yan, Huyong, Feng, Li, Yu, You, Liao, Weiling, Feng, Lei, Zhang, Jingyue, Liu, Dan, Zou, Ying, Liu, Chongwen, Qu, Linfa, Zhang, Xiaoman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464832/
https://www.ncbi.nlm.nih.gov/pubmed/36105945
http://dx.doi.org/10.3389/fncom.2022.981739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464832/
https://www.ncbi.nlm.nih.gov/pubmed/36105945
http://dx.doi.org/10.3389/fncom.2022.981739

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