• DocumentCode
    2773653
  • Title

    Implementation of the automated network vulnerability assessment framework

  • Author

    Yoon, Jun ; Sim, Wontae

  • Author_Institution
    Korea Inf. Security Agency, Seoul
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    153
  • Lastpage
    157
  • Abstract
    It is an essential network security management process to grasp the network security status precisely and rapidly by identifying the vulnerabilities on the network. Manual check-up method by security experts and automatic vulnerability assessment tools can be used to check the network security. But it is inevitable option to use the automatic vulnerability assessment tools to cover large-scale network. There are lots of automatic vulnerability assessment tools available in the market. But the vulnerability assessment tool cannot find an acceptable percentage of vulnerabilities by itself. When the multiple vulnerability assessment tools are used, integrating and analyzing the results can be a time-consuming job. This paper presents the implementation of the automated network vulnerability assessment framework which can integrate various kinds of vulnerability assessment tools with the purpose of complementing each other, manage them consistently from the central manager, and be easily extended to large-scale network using distributed messaging servers.
  • Keywords
    telecommunication network management; telecommunication security; automated network vulnerability assessment; distributed messaging servers; large-scale network; network security management process; Computer crime; Information security; Large scale integration; Large-scale systems; Monitoring; Network servers; Resource management; Telecommunication traffic; Testing; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology, 2007. IIT '07. 4th International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1840-4
  • Electronic_ISBN
    978-1-4244-1841-1
  • Type

    conf

  • DOI
    10.1109/IIT.2007.4430423
  • Filename
    4430423