Detecting Webshell Based on Random Forest with FastText-Reference-Cited by-同舟云学术

Detecting Webshell Based on Random Forest with FastText

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Computing and Artificial Intelligence - ICCAI 2018
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Author:

Fang Yong¹,Qiu Yaoyao²,Liu Liang¹,Huang Cheng¹

Affiliation:

1. College of Cybersecurity, Sichuan University, Chengdu, Sichuan, P.R.China

2. College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, P.R.China

Publisher

ACM Press

Reference18 articles.

1. Acunetix Web Application Vulnerability Report 2016. [EB/OL]:https://d3eaqdewfg2crq.cloudfront.net/resources/acunetix-web-application-vulnerability-report-2016.pdf.

2. Scott, B., & H. Ben. Web Shell Detection Using NeoPI [EB/OL]:http://resources.infosecinstitute.com/web-shell-detection/.

3. Jiankang H U, Zhen X U, Duohe M A, et al. Research of Webshell Detection Based on Decision Tree[J]. Journal of Network New Media, 2012.

4. F Ye, J Gong, W Yang. Black box detection of webshell based on support vector machine [J]. Journal of Nanjing University of Aeronautics & Astronautics, 2015.

5. Wrench, P. M., & Irwin, B. V. (2015, August). Towards a PHP webshell taxonomy using deobfuscation-assisted similarity analysis. In Information Security for South Africa (ISSA), 2015(pp. 1--8). IEEE.

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