upon the D-S evidence theory, the extraction the frequent
patterns and sequential patterns from the dataset of network
security situation based upon knowledge discovery method
and the transformation of these patterns to the correlation
rules of network security situation, and the automatic
generation of network security situation graph. We also
present the application of the Net-SSA and show that the
proposed framework supports for the accurate modeling and
effective generation of network security situation. As this
study continues, we plan to explore assessment of global
security situation and investigate the problems of real-time
predication of upcoming severe security attacks.