• DocumentCode
    2387341
  • Title

    A New Database Firewall Based on Anomaly Detection

  • Author

    Sun, Jianhua ; Chen, Hao ; Niu, Chunmei

  • Author_Institution
    Sch. of Comput. & Commun., Hunan Univ., Changsha, China
  • fYear
    2010
  • fDate
    8-11 Dec. 2010
  • Firstpage
    399
  • Lastpage
    404
  • Abstract
    We present here a data-base firewall to prevent from attacks against MySQL back-end data-base of web applications. It works as a data-base connection proxy, which means that the web applications connect to the DB-FW rather than the original MySQL server directly. The firewall listens SQL query requests from the client as well as analyzes them, and then if they are safe, will call the original MySQL server to execute the queries, else will block the queries and return an empty result to the client. It can be configured to work under different ways. Here we use a special method to analyze the SQL queries, not only analyzes the structure of the queries but also the user inputs with some models, all of which allow for the detection of known and unknown attacks with low false positives and false negatives. From the experiments, we can see that it has a low performance overhead.
  • Keywords
    SQL; authorisation; MySQL back-end database; anomaly detection; database firewall; original MySQL server; Data models; Feature extraction; Fires; Numerical models; Performance evaluation; Security; Servers; anomaly detection; data-base firewall; data-base security; firewall;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9110-0
  • Electronic_ISBN
    978-0-7695-4287-4
  • Type

    conf

  • DOI
    10.1109/PDCAT.2010.71
  • Filename
    5704458