Title :
A Taxonomy of SQL Injection Detection and Prevention Techniques
Author :
Sadeghian, Alireza ; Zamani, Mahdi ; Manaf, Asrulnizam Abd
Author_Institution :
Adv. Inf. Sch., Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia
Abstract :
While using internet for proposing online services is increasing every day, security threats in the web also increased dramatically. One of the most serious and dangerous web application vulnerabilities is SQL injection. SQL injection attack took place by inserting a portion of malicious SQL query through a non-validated input from the user into the legitimate query statement. Consequently database management system will execute these commands and it leads to SQL injection. A successful SQL injection attack interfere Confidentiality, Integrity and availability of information in the database. Based on the statistical researches this type of attack had a high impact on business. Finding the proper solution to stop or mitigate the SQL injection is necessary. To address this problem security researchers introduce different techniques to develop secure codes, prevent SQL injection attacks and detect them. In this paper we present a comprehensive review of different types of SQL injection detection and prevention techniques. We criticize strengths and weaknesses of each technique. Such a structural classification would further help other researchers to choose the right technique for the further studies.
Keywords :
Internet; SQL; query processing; security of data; Internet; SQL injection attacks; SQL injection detection technique; SQL injection prevention technique; database management system; legitimate query statement; malicious SQL query; statistical researches; structural classification; Browsers; Conferences; Context; Databases; Runtime; Security; Testing; Information security; SQL injection; Web application vulnerability;
Conference_Titel :
Informatics and Creative Multimedia (ICICM), 2013 International Conference on
Conference_Location :
Kuala Lumpur
DOI :
10.1109/ICICM.2013.18