Title
Study of Index Weight in Network Threat Evaluation Based on Improved Grey Theory
Abstract
It's necessary to create a credible and general evaluating index model in network threat assessment. According to the network indices' effect, this paper proposed an algorithm which combines grey correlation degree in grey theory with traditional analytic hierarchy process (AHP) to determine the indices. It considered both objective and subjective factors. Experiments showed that this method had a strict mathematical theory basis, a definite meaning and a high practical value. It improved the evaluation methods' credibility of network threat assessment.
Year
DOI
Venue
2008
10.1109/PACIIA.2008.134
PACIIA (2)
Keywords
Field
DocType
computer networks,indexation,indexes,usability,correlation,analytic hierarchy process,reliability theory,security,shape
Data mining,Credibility,Computer science,Usability,Mathematical theory,Grey correlation,Artificial intelligence,Threat assessment,Analytic hierarchy process,Machine learning,Reliability theory,Gray (horse)
Conference
Volume
Issue
Citations 
2
null
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Jiaquan Si100.34
Kaizhuo Wang200.34
Wei Wang342.78
Dapeng Man42910.54
Yang Wu56922.62