• DocumentCode
    1935794
  • Title

    Security Metrics Models and Application with SVM in Information Security Management

  • Author

    Qu, Wei ; Zhang, De-Zheng

  • Author_Institution
    Univ. of Sci. & Technol. Beijing, Beijing
  • Volume
    6
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3234
  • Lastpage
    3238
  • Abstract
    In order to understand the achieved information security level in a product, system or organization better, information security managers must be able to get input from security objects. The use of information security metrics in certain enterprise, and its relation to the literature is studied. The techniques used in the implementation and analysis of metrics, as well as their usefulness and future targets are studied. Three standard models were proposed to get the numerical value for security level. The results of the models used in a manufacture factory with 6000 fellows show that there is an effective assessment to security system and great assistance to improve controlling information risk.
  • Keywords
    information management; production engineering computing; security of data; support vector machines; SVM; information risk; information security management; information security managers; manufacture factory; security metrics models; Automatic control; Computer security; Conference management; Cybernetics; Information management; Information security; Machine learning; Production facilities; Support vector machines; Technology management; Measurement of security; Risk management; Security management processes; Security metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370705
  • Filename
    4370705