Detection and prevention approach to SQLi and phishing attack using machine learning

Abstract

Web application attacks are increasing and exploiting the security of users. The flow of our paper goes with the discussion of cyber security attacks to the machine learning algorithms to detect and prevent these types of attacks. This paper also uses an open source Web Application Firewall- Mod Security which is an internet technology helps preventing the attacks. We have discussed the approach of WAF with the algorithms of machine learning to efficiently detect the attacks and secure the user. Machine learning learns the attack from previous attacks according to the previous results and block or bypass the Web Applications Firewall. The paper focuses on SQL Injections and Phishing vulnerabilities and prevent attackers to easily deceive them.