Webshell Detection Based on Random Forest–Gradient Boosting Decision Tree Algorithm-Reference-Cited by-同舟云学术

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Webshell Detection Based on Random Forest–Gradient Boosting Decision Tree Algorithm

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)
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Author:

Cui Handong,Huang Delu,Fang Yong,Liu Liang,Huang Cheng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8411555/8411822/08411851.pdf?arnumber=8411851

Cited by 40 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

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2. SmartEagleEye: A Cloud-Oriented Webshell Detection System Based on Dynamic Gray-Box and Deep Learning;Tsinghua Science and Technology;2024-06

3. AST-DF: A New Webshell Detection Method Based on Abstract Syntax Tree and Deep Forest;Electronics;2024-04-13

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

5. TridentShell: An enhanced covert and scalable backdoor injection attack on web applications;Journal of Network and Computer Applications;2024-03

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