RF-AdaCost: WebShell Detection Method that Combines Statistical Features and Opcode-Reference-Cited by-同舟云学术

RF-AdaCost: WebShell Detection Method that Combines Statistical Features and Opcode

Published:2020 Issue: Volume: Page:667-682
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Kang Wenzhuang,Zhong Shangping,Chen Kaizhi,Lai Jianhua,Xu Guangquan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-9739-8_49

Reference30 articles.

1. Kim, J., Yoo, D.H., Jang, H., et al.: WebSHArk 1.0: a benchmark collection for malicious web shell detection. J. Inf. Process. Syst. 11(2), 229–238 (2015)

2. WEB TECHNOLOGY SURVEYS: Usage statistics of server-side programming languages for websites [EB/OL]. https://w3techs.com/technologies/overview/programming_lan-guage . Accessed 15 May 2020

3. Argyros, G., Stais, I., Kiayias, A., et al.: Back in black: towards formal, black box analysis of sanitizers and filters. In: 2016 IEEE Symposium on Security and Privacy (SP). IEEE (2016)

4. Cui, H., Huang, D., Fang, Y., et al.: Webshell detection based on random forest–gradient boosting decision tree algorithm. In: 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), pp. 153–160. IEEE (2018)

5. Salton, G., Yu, C.T.: On the construction of effective vocabularies for information retrieval. ACM 9(3) (1973)

Cited by 6 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. Imbalanced Classification Krein Spaces Kernel Methods Support Vector Machines;2024

2. A deep learner model for multi-language webshell detection;International Journal of Information Security;2022-10-18

3. BERT-Embedding-Based JSP Webshell Detection on Bytecode Level Using XGBoost;Security and Communication Networks;2022-08-31

4. RF-DNN²: An ensemble learner for effective detection of PHP Webshells;2021 International Conference on Artificial Intelligence for Cyber Security Systems and Privacy (AI-CSP);2021-11-20

5. HoneyBog: A Hybrid Webshell Honeypot Framework against Command Injection;2021 IEEE Conference on Communications and Network Security (CNS);2021-10-04