title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ñ SQL-Ð¸Ð½ÑÐµÐºÑÐ¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Application of deep learning for detecting SQL injections
Creators: name: ÐÐ¾ÑÐ¸ÑÐµÐ½ÐºÐ¾, Ð Ð¾Ð¼Ð°Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¸Ð½ÑÐµÐºÑÐ¸Ñ
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÐµ ÑÐµÑÐ¸
Ð³ÑÐ°Ñ
injection
deep learning
classification
convolutional networks
graph

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description: The topic of the graduate qualification work is Â«Application of deep learning for detecting SQL injectionsÂ». The purpose of the study is to develop a method for detecting SQL injection attacks using graph neural networks. The subject of the study is deep learning methods and their application for detecting attacks using SQL injections. The research set the following goals: 1. Analyzing the class of SQL injection vulnerabilities. 2. Analyzing existing methods for detecting SQL injections. 3. Evaluating the applicability of deep learning to the problem of detecting SQL injections. 4. Developing the method for applying a neural network model to identify malicious SQL queries. 5. Evaluating the effectiveness of the developed method. In the process of working, convolutional neural networks were considered, as well as their variety - graph convolutional networks. Their applicability to the task of graph classification was analyzed. As a result of the work, a method for detecting SQL injections was proposed and a multiclass classifier was implemented. It was concluded that graph neural networks are a promising direction for further work. The obtained results can be used as a basis for designing a web application firewall.