@article{MAKHILLAJIT20131245756,
    title = {The SQL Injection Attack Detection and Prevention by Classification and 
  Analysis},
    journal = {Asian Journal of Information Technology},
    volume = {12},
    number = {4},
    pages = {131-139},
    year = {2013},
    issn = {1682-3915},
    doi = {ajit.2013.131.139},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2013.131.139},
    author = {V.,S. Lakshmana and},
    keywords = {SQL injection attacks,classification,detection,static and dynamic analysis,prevention},
    abstract = {Securing the web application against hacking is a big challenge. 
  One of the most common types of hacking technique to attack the web application 
  is SQL Injection Attack (SQLIA). In resulting of this attack an attacker can 
  access, modify and even destroy the database of a web application. SQL injection 
  is occurring when data provided by user is not properly validates and is included 
  directly in a SQL query. The analysis of detection and prevention of SQLIA help 
  to avoid this type of attack. Researchers describe a technique to detect and 
  prevent this kind of manipulation and hence eliminate SQL injection attack. 
  The existing solution to SQL injection requires source code modification and 
  increases the possibilities of new injection points. In this study, researchers 
  propose static and dynamic analysis to detect the SQL injection attack and we 
  propose decision tree classification to prevent them.}
    }