Research on Webshell Detection Based on Semantic Analysis and Text-CNN-Reference-Cited by-同舟云学术

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Research on Webshell Detection Based on Semantic Analysis and Text-CNN

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Conference on Computational Intelligence and Security (CIS)
language:
Short-container-title:

Author:

Cheng Kefei¹,Wang Huidi¹,Hu Guangjun²,Zhang Liang¹,Chen Jinghao³,Luo Wei³

Affiliation:

1. Cyberspace Security and Information Chongqing University of Posts and Telecommunications,Chongqing,China

2. First Research Institute of The Ministry of Public Security of PRC,Offensive and defensive laboratory,Beijing,China

3. Chongqing Public Security Bureau Network security corps,Chongqing,China

Funder

Chongqing Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9701656/9701587/09701708.pdf?arnumber=9701708

Reference15 articles.

1. Lightgbm: A highly efficient gradient boosting decision tree;ke;Advances in neural information processing systems,2017

2. A novel multivariate filter method for feature selection in text classification problems

3. Long Short-Term Memory

4. Improved sentence modeling using suffix bidirectional Istm;brahma;ArXiv Preprint,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal design of digital FIR filters based on text convolutional neural network for aliasing errors reduction in FI-DAC;IEICE Electronics Express;2024-09-10

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