WebGuardRL: An Innovative Reinforcement Learning-based Approach for Advanced Web Attack Detection-Reference-Cited by-同舟云学术

WebGuardRL: An Innovative Reinforcement Learning-based Approach for Advanced Web Attack Detection

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
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Author:

Do Hoang Hien¹^ORCID,Nguyen Thi Hai Ha¹^ORCID,Do Thi Thu Hien²^ORCID,Phan The Duy³^ORCID,Pham Van-Hau⁴^ORCID

Affiliation:

1. University of Information Technology, Vietnam National University Ho Chi Minh City, Viet Nam

2. University of Information Technology, Vietnam National University, Ho Chi Minh city, Viet Nam

3. University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam, Viet Nam

4. Viet Nam\tUniversity of Information Technology, Vietnam National University, Ho Chi Minh city, Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628982

Reference22 articles.

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3. Francesco Caturano , Gaetano Perrone , and Simon Pietro Romano . 2021. Discovering reflected Cross-Site Scripting vulnerabilities using a Multiobjective Reinforcement Learning environment. Computers & Security 103 (01 2021 ), 102204. Francesco Caturano, Gaetano Perrone, and Simon Pietro Romano. 2021. Discovering reflected Cross-Site Scripting vulnerabilities using a Multiobjective Reinforcement Learning environment. Computers & Security 103 (01 2021), 102204.

4. ECML/PKDD 2007 Discovery Challenge. 2007. Attack Challenge - Dataset. https://www.lirmm.fr/pkdd2007-challenge/index.html##dataset. ECML/PKDD 2007 Discovery Challenge. 2007. Attack Challenge - Dataset. https://www.lirmm.fr/pkdd2007-challenge/index.html##dataset.

5. Pradip Dhal and Chandrashekhar Azad . 2021. A comprehensive survey on feature selection in the various fields of machine learning. Applied Intelligence ( 2021 ). Pradip Dhal and Chandrashekhar Azad. 2021. A comprehensive survey on feature selection in the various fields of machine learning. Applied Intelligence (2021).