International Journal Of Imaging

Abstract

SQLINJECTIONATTACKS: LEVERAGING AI FOR CLASSIFICATION AND RESPONSE STRATEGIES

Author: Sreeya siddha,D.Abhitarun Reddy, Karigari Bharath kumar, A.Bhasha

Abstract:

SQL injection attacks pose a serious threat to databases as they exploit vulnerabilities in the database layer by injecting SQL codes into user databases. The consequences of a successful attack cause unauthorized access to databases and attackers can gain access to sensitive data. So to avoid the data breach and unauthorized access we have to detect whether the executed SQL code at the user side is malicious or not. Even though some methods like parameterized queries, escaping characters and input validation are some traditional techniques to detect SQL injection, they have their own limitations. These methods often rely on manual coding practices and may not identify new attacks. As attackers continuously evolve their techniques to attack and gain access to sensitive data there is a need for advanced solutions that can proactively identify and mitigate SQL injection attacks. AI has the capacity to analyse vast amounts of data, detect patterns, and learn from previou