Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Cross Site Scripting Attacks: XSS Exploits and Defense
por: Fogie, Seth
Publicado: (2007) -
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
por: Ahmed, Rami, et al.
Publicado: (2021) -
Adversarial attacks on spiking convolutional neural networks for event-based vision
por: Büchel, Julian, et al.
Publicado: (2022) -
A Method for Detecting LDoS Attacks in SDWSN Based on Compressed Hilbert–Huang Transform and Convolutional Neural Networks
por: Liu, Yazhi, et al.
Publicado: (2023) -
fPADnet: Small and Efficient Convolutional Neural Network for Presentation Attack Detection
por: Nguyen, Thi Hai Binh, et al.
Publicado: (2018)