SHIELDING DATABASES: DETECTION AND DEFENSE STRATEGIES AGAINST SQL INJECTION ATTACKS
Keywords:
Sql injection, sql attack, SVM, NaiveBayes, CNN, Training, sql attack prevention, vulnerability, algorithmsAbstract
SQL injection attacks have emerged as a significant security issue affecting both organisations and individuals worldwide for a duration exceeding two decades. The attacks mentioned above present a substantial risk due to their ability to inject malicious code into web applications, such as login forms or search bars, and subsequently execute it through databases. This vulnerability facilitates unauthorized access, manipulation, or deletion of sensitive data, including passwords, credit card information, and personal data. This research paper delves into the complex characteristics of SQL injection attacks, analyzing their historical progression as significant cyber intrusions. This research investigates the operational principles of these systems and evaluates the substantial impact they can have on the parties involved. Furthermore, the study examines current methodologies that have been developed to address the risk associated with SQL injection attacks. This study examines the utilization of robust authentication protocols, regular software and database updates, stringent access control mechanisms, comprehensive security audits, and rigorous penetration testing. Implementing proactive measures is imperative to ensure the protection and preservation of data's security and integrity, thereby fortifying it against any malicious intentions. By understanding and implementing these measures, organisations can improve their capacity to protect themselves against the persistent threat of SQL injection attacks.