연구 분야: Databases
학회: 2022 17th Iberian Conference on Information Systems and Technologies (CISTI)
The Open Web Application Security Project (OWASP) (a non-profit foundation that works to improve computer security) considered, in 2021, injection as one of the biggest risks in web applications. SQL injection despite being a vulnerability easily avoided has a great insurgency in web applications, and its impact is quite nefarious. To identify and exploit vulnerabilities in a system, algorithms based on Swarm Intelligence (SI) can be used. This article proposes and describes a new approach that uses SI and attack vectors to identify Structured Query Language (SQL) Injection vulnerabilities. The results obtained show the efficiency of the proposed approach.
| 발행 연도 | 2022년 |
|---|---|
| 인용수 | 1 |
| 출판 국가 | Andorra |
| 사이트 | IEEE |
| 좋아요 수 | 0 |