Webshell Detection
Webshell Detection is a cybersecurity methodology that identifies malicious scripts, known as webshells, embedded within web servers by analyzing behavioral patterns, code structures, or anomalous activities to distinguish them from legitimate web content.
22
Publications
577
Citations
90
Authors
30
Institutions
Publications per year
2017–2026
18
Parents
22
Webshell Detection Based on Random Forest–Gradient Boosting Decision Tree Algorithm
Handong Cui, Delu Huang, Yong Fang et al. · 2018 · 49 citations
Yifan Tian, Jiabao Wang, Zhenji Zhou et al. · 2017 · 38 citations
Detecting Webshell Based on Random Forest with FastText
Yong Fang, Yaoyao Qiu, Liang Liu et al. · 2018 · 33 citations
Webshell Traffic Detection With Character-Level Features Based on Deep Learning
Hua Zhang, Hongchao Guan, Hanbing Yan et al. · IEEE Access · 2018 · 33 citations · Full text
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90
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30

Sichuan University
Chengdu, China
3 h-index
14 publications
537 citations

Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
7 publications
168 citations
Xinjiang University
Ürümqi, China
2 h-index
8 publications
112 citations
Chengdu University of Information Technology
Chengdu, China
1 h-index
2 publications
64 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
5 publications
70 citations
Badji Mokhtar-Annaba University
Annaba, Algeria
1 h-index
1 publications
25 citations
Kennesaw State University
Kennesaw, United States
1 h-index
2 publications
58 citations
Providence University
Taichung, Taiwan
1 h-index
1 publications
64 citations
1–8 of 30
3 publications · 66 citations
3
h-index
1 publications · 13 citations
1
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WCMC · 1 publications · 21 citations
1
h-index
1 publications · 32 citations
1
h-index
1 publications · 64 citations
1
h-index
1–5