Machine learning algorithm for intelligent detection of WebShell
WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learn...
Saved in:
| Main Authors: | Hua DAI, Jing LI, Xin-dai LU, Xin SUN |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2017-04-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00126 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Webshell malicious traffic detection method based on multi-feature fusion
by: Yuan LI, et al.
Published: (2021-12-01) -
ATBShellFinder: A Bytecode-Level Webshell Detector Based on Adversarial Training
by: Yuqin Xie, et al.
Published: (2025-01-01) -
FLWD:A Webshell detection method based on federated learning
by: ZENG Qingpeng, et al.
Published: (2025-06-01) -
Method of Webshell detection based on multi-view feature fusion
by: Feng LIN, et al.
Published: (2020-06-01) -
Research on Webshell-based botnet
by: Ke LI, et al.
Published: (2016-06-01)