Web application penetration testing with artificial intelligence: a systematic review

Sánchez, G., Olayinka, O. orcid.org/0000-0003-2449-3690 and Pasikhani, A. (2025) Web application penetration testing with artificial intelligence: a systematic review. In: 2024 22nd International Symposium on Network Computing and Applications (NCA 2024). 2024 IEEE 22nd International Symposium on Network Computing and Applications (NCA 2024), 24-26 Oct 2024, Bertinoro, Italy. Institute of Electrical and Electronics Engineers (IEEE) , pp. 236-245. ISBN 9798331510190

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Item Type: Proceedings Paper
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© 2024 The Author(s). Except as otherwise noted, this author-accepted version of a journal article published in 2024 22nd International Symposium on Network Computing and Applications (NCA 2024) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Machine learning; security; web applications
Dates:
  • Accepted: 30 September 2024
  • Published (online): 2 April 2025
  • Published: 2 April 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 Nov 2024 12:31
Last Modified: 08 Apr 2025 11:40
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/NCA61908.2024.00043
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