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SQL injection attack (SQLIA) is a code injection technique, used to attack data-driven applications by executing malicious SQL statements. Techniques like pattern matching, software testing and grammar analysis etc. are frequently used to prevent such attack. However, major bottlenecks still remain in detecting SQLIA with bypassing techniques, getting access to source code and requiring an additional manual operation to extract features. The authors propose a novel detection approach based ondoi:10.1049/sfw2.12018 fatcat:k7ek57p7yrca3agftqya4ttmay