Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)

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Command Execution Bypassing Evasion Based on Win32Net Module

Authors
Shengke Ye1, Weiqiang Qin1, Tinghua Chen1, Dewei Ou1, *, Genhai Zhang1
1School of Information Technology, City College of Huizhou, Huizhou, China
*Corresponding author.
Corresponding Author
Dewei Ou
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-490-7_39How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 August 2024
ISBN
978-94-6463-490-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-490-7_39How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shengke Ye
AU  - Weiqiang Qin
AU  - Tinghua Chen
AU  - Dewei Ou
AU  - Genhai Zhang
PY  - 2024
DA  - 2024/08/31
TI  - Command Execution Bypassing Evasion Based on Win32Net Module
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 354
EP  - 366
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_39
DO  - 10.2991/978-94-6463-490-7_39
ID  - Ye2024
ER  -