Using Automated Fix Generation to Mitigate SQL Injection Vulnerabilities

Since 2002, over 10% of total cyber vulnerabilities were SQL injection vulnerabilities (SQLIVs). Since most developers are not experienced software security practitioners, a solution for correctly removing SQLIVs that does not require security expertise is desirable. In this paper, an automated fix generation algorithm for removing SQLIVs by replacing SQL statements with prepared SQL statements is described. Automated fix generation is a type of automated code generation that analyzes project artifacts containing faults and uses the analysis to generate fault free alternative or replacement code. Prepared SQL statements have a static structure and take type-specific input parameters, which prevents SQL injection attack input from changing the structure and logic of a statement. The automated fix algorithm is evolved over the course of preparing for and analyzing the results of four formative and evaluative case studies.

is from Raleigh, North Carolina. He received his Bachelors of Science in Computer Science attending North Carolina State University from 2003 to 2006. He received his Master of Science in December, 2007.