Correlation approach for SQL injection attacks detection

Abstract

In this paper we prove that the correlation approach to SQL Injection Attacks allows improving results of such attacks detection. Moreover, we propose a novel method for SQLIA detection based on the genetic algorithm for determining anomalous queries. Experimental scenario is also described and the achieved results are reported. © 2013 Springer-Verlag Berlin Heidelberg.