Adversarial Threats and Defense Mechanisms in Machine Learning-Based SQL Injection Detection: A Security Analysis

Ranwa Al-Mallah and Alejandro Quintero

Paper (2025)

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Department:	Department of Computer Engineering and Software Engineering
ISBN:	9798331520960
PolyPublie URL:	https://publications.polymtl.ca/65719/
Conference Title:	International Conference on Computing, Networking and Communications (ICNC 2025)
Conference Location:	Honolulu, HI, USA
Conference Date(s):	2025-02-17 - 2025-02-20
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/icnc64010.2025.10993834
Official URL:	https://doi.org/10.1109/icnc64010.2025.10993834
Date Deposited:	14 May 2025 10:02
Last Modified:	14 May 2025 10:02

Cite in APA 7:	Al-Mallah, R., & Quintero, A. (2025, February). Adversarial Threats and Defense Mechanisms in Machine Learning-Based SQL Injection Detection: A Security Analysis [Paper]. International Conference on Computing, Networking and Communications (ICNC 2025), Honolulu, HI, USA. https://doi.org/10.1109/icnc64010.2025.10993834
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