Kwame Addo-Buahing
Msc. Cyber Security And Digital Forensics, Department Of Computer Science, Kwame Nkrumah University Of Science
An N-gram-driven T-sql Security Framework For Sql Injection Detection And Prevention
SQL injection (SQLI) remains one of the most dangerous threats to database-driven applications. Existing SQL injection prevention techniques suffer from limitations such as high false positives, processing overhead, and weak runtime validation. This study proposes an N-GRAM-driven Transact-SQL (T-SQL) security framework for detecting and preventing SQL injection attacks within Microsoft SQL Server stored procedures. The framework integrates N-GRAM character analysis

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