Publicação
Exploring SQL injection vulnerabilities using artificial bee colony
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 10:Reduzir as Desigualdades | |
| dc.contributor.author | Baptista, Kevin | |
| dc.contributor.author | Bernardino, Anabela | |
| dc.contributor.author | Bernardino, Eugénia | |
| dc.date.accessioned | 2026-04-22T15:09:41Z | |
| dc.date.available | 2026-04-22T15:09:41Z | |
| dc.date.issued | 2021-10 | |
| dc.description | Conference date - 13 October 2021 - 15 October 2021; Conference code - 174794 | |
| dc.description | Baptista, Kevin - Scopus ID: 57441305500 | |
| dc.description.abstract | Over 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). | en |
| dc.description.sponsorship | This work was supported by national funds through the Portuguese Foundation for Science and Technology (FCT) under the project UIDB/04524/2020. | |
| dc.identifier.citation | Baptista, 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. | |
| dc.identifier.doi | 10.33965/icwi_ac2021_202109l018 | |
| dc.identifier.isbn | 978-989-8704-34-4 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/16176 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IADIS Press | |
| dc.relation | Research Center in Informatics and Communications | |
| dc.relation.hasversion | https://scholar.google.com/scholar?q=Exploring%20SQL%20injection%20vulnerabilities%20using%20artificial%20bee%20colony | |
| dc.relation.ispartof | Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021 | |
| dc.rights.uri | N/A | |
| dc.subject | Artificial Bee Colony | |
| dc.subject | SQL Injection | |
| dc.subject | Vulnerabilities in Web Applications | |
| dc.title | Exploring SQL injection vulnerabilities using artificial bee colony | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/04524/2020 | |
| oaire.awardTitle | Research Center in Informatics and Communications | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04524%2F2020/PT | |
| oaire.citation.conferenceDate | 2021-10 | |
| oaire.citation.conferencePlace | Virtual, Online | |
| oaire.citation.endPage | 154 | |
| oaire.citation.startPage | 147 | |
| oaire.citation.title | 20th International Conferences on WWW/Internet 2021 and Applied Computing 2021 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Moreira Bernardino | |
| person.familyName | Bernardino | |
| person.givenName | Anabela | |
| person.givenName | Eugénia | |
| person.identifier.ciencia-id | 081E-F3B8-316A | |
| person.identifier.ciencia-id | 9616-F1BC-D8BD | |
| person.identifier.orcid | 0000-0002-6561-5730 | |
| person.identifier.orcid | 0000-0001-5301-5853 | |
| person.identifier.scopus-author-id | 24402754700 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| relation.isAuthorOfPublication | 375ebe15-f84c-46a4-a3d9-6e4935a92187 | |
| relation.isAuthorOfPublication | 893cf15c-eff8-4e43-949c-c1de6eb87599 | |
| relation.isAuthorOfPublication.latestForDiscovery | 375ebe15-f84c-46a4-a3d9-6e4935a92187 | |
| relation.isProjectOfPublication | 67435020-fe0d-4b46-be85-59ee3c6138c7 | |
| relation.isProjectOfPublication.latestForDiscovery | 67435020-fe0d-4b46-be85-59ee3c6138c7 |
Ficheiros
Principais
1 - 1 de 1
A carregar...
- Nome:
- Exploring SQL injection vulnerabilities using artificial bee colony.pdf
- Tamanho:
- 1.15 MB
- Formato:
- Adobe Portable Document Format
Licença
1 - 1 de 1
Miniatura indisponível
- Nome:
- license.txt
- Tamanho:
- 1.32 KB
- Formato:
- Item-specific license agreed upon to submission
- Descrição: