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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 2, February 2016

A Study on Disclosure and Avoidance of SQL Injection Attack

Monali Rajurkar | S. A. Mane

Abstract: Many software systems include a web-based element that makes them available to the public via the internet and can expose them to a variety of web-based attacks. One of these attacks is SQL injection which can give attackers illegal access to the databases. This paper presents a way to prevent web applications against SQL injection. Pattern matching is a system that can be used to distinguish or endorse any abnormality parcel from a consecutive activity. This paper also presents recognition and preventing strategy for protecting SQL Injection Attack (SQLIA) utilizing Aho-Corasick pattern matching calculation Furthermore, it focuses on different mechanisms that can find several SQL Injection attacks.

Keywords: SQL Injection Attack, Pattern Matching, Static Pattern, Dynamic Pattern, Anomaly Score

Edition: Volume 5 Issue 2, February 2016,

Pages: 613 - 616