Publicação

Query log analysis for SQL injection detection

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Detalhes bibliográficos
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
Descrição
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.

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