# A Machine Learning Methodology for Detecting SQL Injection Attacks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-machine-learning-methodology-for-detecting-sql-injection-attacks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Anish Gupta,Lalit Kumar Tyagi,Aezeden Mohamed |
| Citations | 4 |
| DOI | 10.1109/ictacs59847.2023.10390153 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4391216446 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Aezeden Mohamed](https://scholariq.org/researchers/aezeden-mohamed/)

## Paper primary topic

- [Computer Science](https://scholariq.org/topics/computer-science/)

## Paper topics

- [Security and Verification in Computing](https://scholariq.org/topics/security-and-verification-in-computing/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.