Data Management

Comparison of SQL Injection Detection Techniques Which Uses Chi-Square Test

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Executive Summary

Database driven by interactive web applications are at risk of SQL Injection Attacks (SQLIA) these applications accept user inputs and use them to form SQL statements. During SQL injection process the attacker inputs malicious SQL query segments which will result in different database request. SQLIA can be use to bypass authentication control and also extract and/or modify valuable information. In order to encounter such type of threats different techniques are purposed by researchers but most of the implemented approaches which uses anomaly detection model have very high false alert. In this paper, the authors have analyze existing detection techniques that uses Chi-square test.

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