• DocumentCode
    2759528
  • Title

    Evaluation of SQL Injection Detection and Prevention Techniques

  • Author

    Tajpour, Atefeh ; Shooshtari, Mohammad JorJor zade

  • Author_Institution
    Centre for Adv. Software Eng. (CASE), Univ. Technol. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2010
  • fDate
    28-30 July 2010
  • Firstpage
    216
  • Lastpage
    221
  • Abstract
    Database driven web application are threaten by SQL Injection Attacks (SQLIAs) because this type of attack can compromise confidentiality and integrity of information in databases. Actually, an attacker intrudes to the web application database and consequently, access to data. For stopping this type of attack different approaches have been proposed by researchers but they are not enough because usually they have limitations. Indeed, some of these approaches have not implemented yet and also most of implemented approaches cannot stop all type of attacks. In this paper all type of SQL injection attack and also different approaches which can detect or prevent them are presented. Finally we evaluate these approaches against all types of SQL injection attacks and deployment requirements.
  • Keywords
    Internet; SQL; data integrity; data privacy; query processing; security of data; SQL injection attacks; SQL injection detection; SQL injection prevention; data access; database driven Web application; information confidentiality; information integrity; SQL Injection Attacks; detection; evaluation; prevention; technique.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on
  • Conference_Location
    Liverpool
  • Print_ISBN
    978-1-4244-7837-8
  • Electronic_ISBN
    978-0-7695-4158-7
  • Type

    conf

  • DOI
    10.1109/CICSyN.2010.55
  • Filename
    5615711