Volume 11 - Volume 11
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.
Paper Details
PaperID: 1939
Author's Name: S.S. Anandha Krishnan, Adhil N Sabu, Priya P Sajan and A.L. Sreedeep
Volume: Volume 11
Issues: Volume 11
Keywords: SQL-injection, Machine Learning, Supervised Learning, Online Learning, Naïve Bayes Classifier, Passive Aggressive Classifier, SVM, CNN, Logistic Regression.
Year: 2021
Month: May
Pages: 300-310