A Study on Disclosure and Avoidance of SQL Injection Attack
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
How to Cite?: Monali Rajurkar, S. A. Mane, "A Study on Disclosure and Avoidance of SQL Injection Attack", Volume 5 Issue 2, February 2016, International Journal of Science and Research (IJSR), Pages: 613-616, https://www.ijsr.net/getabstract.php?paperid=NOV161198, DOI: https://dx.doi.org/10.21275/NOV161198