Geodesic
Machine learning based anomaly detection method for SQL
Prikladnaya Diskretnaya Matematika. Supplement, no. 10 (2017), pp. 121-122.

Voir la notice de l'article provenant de la source Math-Net.Ru

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, clasterization, recurrent neural network.
Mots-clés : SQL-injections 
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     author = {A. I. Murzina},
     title = {Machine learning based anomaly detection method for {SQL}},
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A. I. Murzina. Machine learning based anomaly detection method for SQL. Prikladnaya Diskretnaya Matematika. Supplement, no. 10 (2017), pp. 121-122. http://geodesic.mathdoc.fr/item/PDMA_2017_10_a45/

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