Correlation Approach for SQL Injection Attacks Detection

被引：0
|
作者：
Choras, Michal [1 ,2 ]
Kozik, Rafal [2 ]
Puchalski, Damian [1 ]
Holubowicz, Witold [2 ,3 ]
机构：
[1] ITTI Ltd, Poznan, Poland
[2] UT&LS Bydgoszcz, Inst Telecommun, Bydgoszcz, Poland
[3] Adam Mickiewicz Univ, Poznan, Poland
来源：
INTERNATIONAL JOINT CONFERENCE CISIS'12 - ICEUTE'12 - SOCO'12 SPECIAL SESSIONS | 2013年 / 189卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：177 / +
页数：3
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