Title :
An efficient technique for preventing SQL injection attack using pattern matching algorithm
Author :
Prabakar, M.A. ; Karthikeyan, Madurakavi ; Marimuthu, K.
Author_Institution :
Dept. of IT, K.L.N. Coll. of Inf., Pottapalayam, India
Abstract :
Pattern matching is a technique that can be used to identify or detect any anomaly packet from a sequential action. Injection attack is a method that can inject any kind of malicious string or anomaly string on the original string. Most of the pattern based techniques are used static analysis and patterns are generated from the attacked statements. In this paper, we proposed a detection and prevention technique for preventing SQL Injection Attack (SQLIA) using Aho-Corasick pattern matching algorithm. In this paper, we proposed an overview of the architecture. In the initial stage evaluation, we consider some sample of standard attack patterns and it shows that the proposed algorithm is works well against the SQL Injection Attack.
Keywords :
SQL; invasive software; string matching; Aho-Corasick pattern matching algorithm; SQL injection attack prevention; SQLIA prevention; anomaly packet detection; anomaly packet identification; anomaly string injection; malicious string injection; sequential action; Algorithm design and analysis; Automata; Conferences; Databases; Heuristic algorithms; Intrusion detection; Pattern matching; Dynamic Pattern Crafting; Pattern matching; SQL Injection Attack; Static Pattern;
Conference_Titel :
Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
Conference_Location :
Tirunelveli
Print_ISBN :
978-1-4673-5037-2
DOI :
10.1109/ICE-CCN.2013.6528551