Title :
Modeling Cyber Knowledge uncertainty
Author :
Lee, Dean ; Hamilton, Samuel N. ; Hamilton, Wendy L.
Author_Institution :
Distrib. Infinity, Inc., San Jose, CA, USA
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;
Conference_Titel :
Computational Intelligence in Cyber Security (CICS), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9905-2
DOI :
10.1109/CICYBS.2011.5949390
