OPTIMIZING CONVOLUTIONAL NEURAL NETWORKS FOR REAL-TIME SQL INJECTION DETECTION IN POSTGRESQL DATABASES WITH A FOCUS ON REDUCING FALSE POSITIVES
Turarov B.M., Kabdrakhova S.S. OPTIMIZING CONVOLUTIONAL NEURAL NETWORKS FOR REAL-TIME SQL INJECTION DETECTION IN POSTGRESQL DATABASES WITH A FOCUS ON REDUCING FALSE POSITIVES // Universum: технические науки : электрон. научн. журн. 2025. 6(135). URL: https://7universum.com/ru/tech/archive/item/20217
Authors
- Symbat Kabdrakhova (ORCID: https://orcid.org/0000-0003-0247-5985)
- Bekzat Turarov
Publication Details
- Journal
- Universum Technical sciences
- Published
- 2025-06-28
- DOI
- https://doi.org/10.32743/unitech.2025.135.6.20217
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00