WS-LSMR: Malicious WebShell Detection Algorithm Based on Ensemble Learning-Reference-Cited by-同舟云学术

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WS-LSMR: Malicious WebShell Detection Algorithm Based on Ensemble Learning

Published:2020 Issue: Volume:8 Page:75785-75797
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ai Zhuang^ORCID,Luktarhan Nurbol^ORCID,Zhao Yuxin^ORCID,Tang Chaofei

Funder

National Natural Science Foundation of China

Innovation Environment Construction Special Project of Xinjiang Uygur Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09075175.pdf?arnumber=9075175

Cited by 12 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. Obfuscated PHP Webshell Detection Using the Webshell Tailored TextRank Algorithm;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

2. Malicious webshell family dataset for webshell multi-classification research;Visual Informatics;2023-07

3. CWSOGG: Catching Web Shell Obfuscation Based on Genetic Algorithm and Generative Adversarial Network;The Computer Journal;2022-04-12

4. PHP web shell detection through static analysis of AST using LSTM based deep learning;2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR);2022-03-10

5. Deep learning-based prediction of traffic accidents risk for Internet of vehicles;China Communications;2022-02

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