A Study on Disclosure and Avoidance of SQL Injection Attack
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 2)Publication Date: 2016-02-01
Authors : Monali Rajurkar; S. A. Mane;
Page : 613-616
Keywords : SQL Injection Attack; Pattern Matching; Static Pattern; Dynamic Pattern; Anomaly Score;
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.
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