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Authors: Alexandra Rocha 1 ; Rui Alves 1 and Tiago Pedrosa 1 ; 2 ; 3

Affiliations: 1 Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal ; 2 Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal ; 3 Laboratório Associado para a Sustentabilidade e Tecnologia em Regiões de Montanha (SuSTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal

Keyword(s): SQL Injection, IDS, MySQL, Attacks, Detection.

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rocha, A.; Alves, R. and Pedrosa, T. (2023). Query Log Analysis for SQL Injection Detection. In Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-624-8; ISSN 2184-4356, SciTePress, pages 471-476. DOI: 10.5220/0011667200003405

@conference{icissp23,
author={Alexandra Rocha. and Rui Alves. and Tiago Pedrosa.},
title={Query Log Analysis for SQL Injection Detection},
booktitle={Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP},
year={2023},
pages={471-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011667200003405},
isbn={978-989-758-624-8},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP
TI - Query Log Analysis for SQL Injection Detection
SN - 978-989-758-624-8
IS - 2184-4356
AU - Rocha, A.
AU - Alves, R.
AU - Pedrosa, T.
PY - 2023
SP - 471
EP - 476
DO - 10.5220/0011667200003405
PB - SciTePress