Toward a Deep Learning Approach for Detecting PHP Webshell-Reference-Cited by-同舟云学术

Toward a Deep Learning Approach for Detecting PHP Webshell

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019
language:
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Author:

Nguyen Ngoc-Hoa¹,Le Viet-Ha²,Phung Van-On²,Du Phuong-Hanh¹

Affiliation:

1. VNU University of Engineering and Technology, Hanoi, Vietnam

2. Office of the Government, Hanoi, Vietnam

Publisher

ACM Press

Reference18 articles.

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3. G. P. Bherde and M. A. Pund. 2016. Recent attack prevention techniques in web service applications. In 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT). 1174--1180. https://doi.org/10.1109/ICACDOT.2016.7877771

4. Daniel Bilar. 2007. Malware detection through opcode sequence analysis using machine learning. Int. J. Electronic Security and Digital Forensics 1 (2007). https://doi.org/10.1504/IJESDF.2007.016865

5. Simen Rune Bragen. 2015. Opcodes as predictor for malware. VDP::Mathematics and natural science: 400::Information and communication science: 420::Security and vulnerability: 424 1 (01 2015).

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