A study of prevention and detection analysis of SQL injection attack

Abstract

In the contemporary world, Web applications have turned out as a crucial element. Everything became easy, simpler, and can meet its aim speedy with web applications. These applications help to reach consumers, patrons, and stakeholders throughout the world easily. The web applications made it easier to keep a proper communication channel between business consortium and consumers. The web applications store the decisive information in its databases which it receives from users. The web application and database are accessible through the internet which gets affected by all the kinds of security threads, leads to misuse of the important information of the user by attackers. Among those attacks, the SQL Injection attack been placed under the top ten susceptibilities. By this type of attack, the hacker can steal important and confidential information from the database which will affect any business or consumer’s establishments. The paper here provides quintessential information on the functions of Machine learning, Predictive Analytics, and development of the consequential web that precisely calculates and avoids SQLIA with experiential valuation presented in the Receiver operating curve and Confusion matrix.