• DocumentCode
    2210007
  • Title

    Modeling Cyber Knowledge uncertainty

  • Author

    Lee, Dean ; Hamilton, Samuel N. ; Hamilton, Wendy L.

  • Author_Institution
    Distrib. Infinity, Inc., San Jose, CA, USA
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    Sensor data can be used to provide a snapshot of the state of a mission critical network. However, sensor data and the conclusions derived from it (Cyber Knowledge) will often contain conflicting values for a given conclusion. In this paper we present a new method for representing and combining cyber knowledge that maintains accuracy even in the face of multiple conflicting inputs.
  • Keywords
    knowledge representation; sensor fusion; cyber knowledge uncertainty; knowledge representation; sensor data; Accuracy; Algebra; Degradation; Fuzzy logic; Knowledge representation; Uncertainty; cyber knowledge representation; knowledge combination; knowledge uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Cyber Security (CICS), 2011 IEEE Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-9905-2
  • Type

    conf

  • DOI
    10.1109/CICYBS.2011.5949390
  • Filename
    5949390
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2210007