Swarm Intelligence applied to SQL Injection


연구 분야: Databases



학회: 2022 17th Iberian Conference on Information Systems and Technologies (CISTI)


초록

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.


Author Profile
Kevin Baptista

School of Technology and Management Polytechnic of Leiria Leiria Portugal

Andorra
Author Profile
Eugénia Bernardino

School of Technology and Management Computer Science and Communication Research Centre Polytechnic of Leiria Leiria Portugal

Andorra
Author Profile
Anabela Bernardino

School of Technology and Management Computer Science and Communication Research Centre Polytechnic of Leiria Leiria Portugal

Andorra

📄 논문 정보

발행 연도 2022년
인용수 1
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

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