Baptista, KevinBernardino, AnabelaBernardino, Eugénia2026-04-222026-04-222021-10Baptista, K., Bernardino, A., & Bernardino, E. (2021). Exploring SQL injection vulnerabilities using artificial bee colony. In Proceedings of the 18th International Conference on Applied Computing (pp. 147-154). DOI: https://doi.org/10.33965/icwi_ac2021_202109l018.978-989-8704-34-4http://hdl.handle.net/10400.8/16176Conference date - 13 October 2021 - 15 October 2021; Conference code - 174794Baptista, Kevin - Scopus ID: 57441305500Over the last couple of decades, there has been an enormous growth in technologies and services available on the internet. This growth must take security into account, although due to the increase in complexity of systems this is not an easy task. Nowadays, hardly any organization may say with certainty that their system is secure. The Open Web Application Security listed “Injection” as the most security risk for web applications in 2020. There are many automated tools to assist professionals in the field, in order to identify this vulnerability. However, keeping these tools up to date has proven to be a challenge. Therefore, there has been some interest in applying Artificial Intelligence (AI) in this field. In this paper, we propose an approach to detect SQL injection vulnerabilities in the source code, using Artificial Bee Colony (ABC).engArtificial Bee ColonySQL InjectionVulnerabilities in Web Applicationsconference paper10.33965/icwi_ac2021_202109l018