SQL Injection Detection Using Machine Learning

Abstract

SQL Injection attack considered as the one among the foremost vulnerability that exploits in terms of privacy exposure also as money loss. SQL Injection attacks are the amount one vulnerability within the most up-to-date OWASP top 10 report, and therefore the amount of those attacks continues to extend. Machine learning algorithms are used to solve the SQL Injection detection challenge. The next traffic is classified as SQL Injection or plain text using a classification algorithm. The machine learning classification algorithm is used in the matter, they are, Naive Bayes Classifier, Passive Aggressive Classifier, SVM, CNN, Logistic Regression. As a result, CNN was chosen to be used in the detection of SQL Injection attacks.