Title :
Detecting various SQL Injection vulnerabilities using String Matching and LCS method
Author :
Anitha, V. ; Lakshmi, A. Supha ; Revathi, M. ; Selvi, K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Paavai Eng. Coll., Namakkal, India
Abstract :
Nowadays a lot of people are using the internet for sharing their personal and business information where there may be a chance for intruder to access the information. Hence, there is a need to take proper attention to overcome the vulnerabilities in the web pages. SQLI (SQL Injection) is a commonly occurring vulnerability where the intruder tries to access the back end (database) using SQL Query. Lot of research work has been done so far in order to prevent SQLI but still the problem remains as a challenge. Since, most of the technique will try to fix the problem in one perspective but in the other end there will be a huge flaw too. Hence, we require a proper system to detect the SQLI completely. Here, we are presenting a system which detects all type of SQLI vulnerabilities after elaborately reviewing the existing methods. Experimental result shows that our proposed system detects all type of SQLI vulnerability when compared with the existing techniques.
Keywords :
Internet; SQL; Web sites; security of data; string matching; Internet; LCS method; SQL injection vulnerability detection; SQL query; SQLI vulnerability detection system; Web page vulnerabilities; business information sharing; personal information sharing; string matching; Accuracy; Business; Databases; Encoding; Integrated circuits; Monitoring; Security; SQL Query and intruders; SQLI; Vulnerabilities; Web attacks;
Conference_Titel :
Advanced Computing (ICoAC), 2014 Sixth International Conference on
Print_ISBN :
978-1-4799-8466-4
DOI :
10.1109/ICoAC.2014.7229717