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Query log analysis for SQL injection detection

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Resumo:Nowadays, more and more services are dependent on the use of resources hosted on the web. The realization of operations such as access to the account bank, credit card operations, among other operations, is something increasingly common in current times, demonstrating not only human dependence on the internet connection, as well as the need to adapt the web resources to the daily life of society. As a result of this growing dependency, web resources now provide a greater amount of confidential information, making the risk of a cyberattack and information leaking grow considerably. In the web context, one of the most well-known attacks is SQL injection that allows the attacker to exploit, through the injection of malicious queries, access to confidential information. This paper suggests a solution for the detection of SQL injection via web resources, using the analysis of the logs of the executed queries.
Autores principais:Rocha, Alexandra
Outros Autores:Alves, Rui; Pedrosa, Tiago
Assunto:SQL Injection IDS MySQL Attacks Detection
Ano:2023
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade Politécnica de Bragança
Idioma:inglês
Origem:Biblioteca Digital da UPB
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author Rocha, Alexandra
author2 Alves, Rui
Pedrosa, Tiago
author2_role author
author
author_facet Rocha, Alexandra
Alves, Rui
Pedrosa, Tiago
author_role author
contributor_name_str_mv Biblioteca Digital da UPB
country_str PT
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datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital da UPB
datacite.creators.creator.creatorName.fl_str_mv Rocha, Alexandra
Alves, Rui
Pedrosa, Tiago
datacite.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2024-01-05T10:06:10Z
datacite.date.embargoed.fl_str_mv 2024-01-05T10:06:10Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv SQL Injection
IDS
MySQL
Attacks
Detection
datacite.titles.title.fl_str_mv Query log analysis for SQL injection detection
dc.contributor.none.fl_str_mv Biblioteca Digital da UPB
dc.creator.none.fl_str_mv Rocha, Alexandra
Alves, Rui
Pedrosa, Tiago
dc.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
dc.date.available.fl_str_mv 2024-01-05T10:06:10Z
dc.date.embargoed.fl_str_mv 2024-01-05T10:06:10Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/29101
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv SQL Injection
IDS
MySQL
Attacks
Detection
dc.title.fl_str_mv Query log analysis for SQL injection detection
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description Nowadays, more and more services are dependent on the use of resources hosted on the web. The realization of operations such as access to the account bank, credit card operations, among other operations, is something increasingly common in current times, demonstrating not only human dependence on the internet connection, as well as the need to adapt the web resources to the daily life of society. As a result of this growing dependency, web resources now provide a greater amount of confidential information, making the risk of a cyberattack and information leaking grow considerably. In the web context, one of the most well-known attacks is SQL injection that allows the attacker to exploit, through the injection of malicious queries, access to confidential information. This paper suggests a solution for the detection of SQL injection via web resources, using the analysis of the logs of the executed queries.
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funding.name_str_mv 6817 - DCRRNI ID
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person_str_mv Rocha, Alexandra
Alves, Rui
Alves, Rui
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Pedrosa, Tiago
Pedrosa, Tiago
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spelling engpt_PTNowadays, more and more services are dependent on the use of resources hosted on the web. The realization of operations such as access to the account bank, credit card operations, among other operations, is something increasingly common in current times, demonstrating not only human dependence on the internet connection, as well as the need to adapt the web resources to the daily life of society. As a result of this growing dependency, web resources now provide a greater amount of confidential information, making the risk of a cyberattack and information leaking grow considerably. In the web context, one of the most well-known attacks is SQL injection that allows the attacker to exploit, through the injection of malicious queries, access to confidential information. This paper suggests a solution for the detection of SQL injection via web resources, using the analysis of the logs of the executed queries.application/pdfpt_PTQuery log analysis for SQL injection detectionRocha, AlexandraPersonalAlves, RuiDSpacehttp://dspace.org/items/59025c90-9178-412c-ae43-fe1a6122c72aDSpacehttp://dspace.org/items/59025c90-9178-412c-ae43-fe1a6122c72aAlvesRuiCiência IDhttps://www.ciencia-id.ptA716-1D09-38A0ORCIDhttp://orcid.org0000-0003-4128-8779Scopus Author IDhttps://www.scopus.com57219876713PersonalPedrosa, TiagoDSpacehttp://dspace.org/items/fee2835e-2230-4414-a58e-bcba895d1f0bDSpacehttp://dspace.org/items/fee2835e-2230-4414-a58e-bcba895d1f0bPedrosaTiagoCiência IDhttps://www.ciencia-id.ptB81E-0583-AEDFORCIDhttp://orcid.org0000-0003-4873-2705Researcher IDhttps://www.researcherid.comG-2249-2011Scopus Author IDhttps://www.scopus.com35318153700HostingInstitutionOrganizationalBiblioteca Digital da UPBe-mailmailto:dspace@unipb.ptdspace@unipb.ptISBNIsPartOf978989758624-8ISSNIsPartOf2184-4356DOIIsPartOf10.5220/00116672000034052024-01-05T10:06:10Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/29101http://purl.org/coar/access_right/c_abf2open accessSQL InjectionIDSMySQLAttacksDetection366343 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Roboticsinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PTUIDB/05757/20206817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Roboticsinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PTUIDP/05757/20206817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2023http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.unipb.pt/bitstreams/bea6bb77-8694-49b9-a47a-9a92a768828d/downloadProceedings of the 9th International Conference on Information Systems Security and Privacy (ICISSP)1471476
spellingShingle Query log analysis for SQL injection detection
Rocha, Alexandra
SQL Injection
IDS
MySQL
Attacks
Detection
status SINGLETON
subject.fl_str_mv SQL Injection
IDS
MySQL
Attacks
Detection
title Query log analysis for SQL injection detection
title_full Query log analysis for SQL injection detection
title_fullStr Query log analysis for SQL injection detection
title_full_unstemmed Query log analysis for SQL injection detection
title_short Query log analysis for SQL injection detection
title_sort Query log analysis for SQL injection detection
topic SQL Injection
IDS
MySQL
Attacks
Detection
topic_facet SQL Injection
IDS
MySQL
Attacks
Detection
url http://hdl.handle.net/10198/29101
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