Mixed-Models Method Based on Machine Learning in Detecting WebShell Attack-Reference-Cited by-同舟云学术

Mixed-Models Method Based on Machine Learning in Detecting WebShell Attack

Published:2020-09-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education
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Author:

Jinping Lu¹,Zhi Tang²,Jian Mao²,Zhiling Gu²,Jiemin Zhang²

Affiliation:

1. Nanjing Linkage Technologies, Nanjing, China

2. Computer Engineering College, JiMei University, Xiamen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3419635.3419716

Reference18 articles.

1. A survey on webshell: game of detection and escape[J];Xiao Long;Cyberspace Security,2018

2. Martin M Lam M S. Automatic generation of XSS and SQL injection attacks with goal-directed model checking[C]. San Jose CA United states: USENIX Association 2008. Martin M Lam M S. Automatic generation of XSS and SQL injection attacks with goal-directed model checking[C]. San Jose CA United states: USENIX Association 2008.

3. Saner: Composing static and dynamic analysis to validate sanitization in web applications[C]. Oakland, CA, United states: Institute of Electrical and Electronics Engineers Inc., 2008. R. Nicole, "Title of paper with only first word capitalized;Balzarotti;J. Name Stand. Abbrev., in press.

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