Systematic Literature Review of Methods Used for SQL Injection Detection Based on Intelligent Algorithms.

In this work, a systematic literature review of methods used for SQL injection detection based on intelligent algorithms, especially deep learning or machine learning, is carried out. We identify the main methods used, the algorithms that have been tested and the main techniques used to process the data. In order to make the study, a quantitative review has been performed following the SLR methodology which includes identification of the need for the review, definition of the search strategy, search and selection of articles, and data extraction and analysis. This work aims to prove if it is possible to apply intelligent algorithms in this field and to collect the methods used so far.