International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 2, February 2016 | Popularity: 6.8 / 10


     

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



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



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