Correlation approach for SQL injection attacks detection
M Choraś, R Kozik, D Puchalski… - … Joint Conference CISIS' …, 2013 - Springer
M Choraś, R Kozik, D Puchalski, W Hołubowicz
International Joint Conference CISIS'12-ICEUTE´ 12-SOCO´ 12 Special Sessions, 2013•SpringerIn 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.
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.
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.
Springer
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