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Prikladnaya Diskretnaya Matematika. Supplement, 2017, Issue 10, Pages 121–122
DOI: https://doi.org/10.17223/2226308X/10/46 (Mi pdma348) 		 
Mathematical Foundations of Computer Security

Machine learning based anomaly detection method for SQL

A. I. Murzina

Tomsk State Uneversity, Department of Informatics, Tomsk
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DOI: https://doi.org/10.17223/2226308X/10/46
Abstract: In this paper, an anomaly detection method for SQL is proposed. The method is based on the clasterization and recurrent neural networks for legitimate SQL-queries. The main idea is to teach neural network to detect non-typical SQL-queries for the server including queries independent from known instances of successful attacks.
Keywords: machine learning, anomaly detection, SQL-injections, clasterization, recurrent neural network.
Document Type: Article
UDC: 004.94
Language: Russian
Citation: A. I. Murzina, “Machine learning based anomaly detection method for SQL”, Prikl. Diskr. Mat. Suppl., 2017, no. 10, 121–122
Citation in format AMSBIB
\Bibitem{Mur17}
\by A.~I.~Murzina
\paper Machine learning based anomaly detection method for SQL
\jour Prikl. Diskr. Mat. Suppl.
\yr 2017
\issue 10
\pages 121--122
\mathnet{http://mi.mathnet.ru/pdma348}
\crossref{https://doi.org/10.17223/2226308X/10/46}
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