• DocumentCode
    3574414
  • 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
  • fYear
    2014
  • Firstpage
    237
  • Lastpage
    241
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing (ICoAC), 2014 Sixth International Conference on
  • Print_ISBN
    978-1-4799-8466-4
  • Type

    conf

  • DOI
    10.1109/ICoAC.2014.7229717
  • Filename
    7229717