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• W46332219 abstract "Databases at the background of e-commerce applications are vulnerable to SQL injection attack which is considered as one of the most dangerous web attacks. In this paper we propose a framework based on misuse and anomaly detection techniques to detect SQL injection attack. The main idea of this framework is to create a profile for legitimate database behavior extracted from applying association rules on XML file containing queries submitted from application to the database. As a second step in the detection process, the structure of the query under observation will be compared against the legitimate queries stored in the XML file thus minimizing false positive alarms." @default.
• W46332219 created "2016-06-24" @default.
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• W46332219 date "2012-01-01" @default.
• W46332219 modified "2023-09-25" @default.
• W46332219 title "Web Anomaly Misuse Intrusion Detection Framework for SQL Injection Detection" @default.
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• W46332219 doi "https://doi.org/10.14569/ijacsa.2012.030321" @default.
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