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

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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Bibliographic Details
Main Authors: Huyong Yan, Li Feng, You Yu, Weiling Liao, Lei Feng, Jingyue Zhang, Dan Liu, Ying Zou, Chongwen Liu, Linfa Qu, Xiaoman Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Computational Neuroscience
Subjects:
XSS
URL
ResNet
word vector
code injection
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2022.981739/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2022.981739/full

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