Paper Info
Title
Research of Network Security Situation Prediction Based on Multidimensional Cloud Model
Abstract
The core of future network security protection will be active defence, where security situation prediction plays an important part. In order to solve the problem of uncertainty conversion between qualitative concept and quantitative values in situational awareness, and to improve the degree of matching between data distribution and actual situation, this paper presents a posture prediction algorithm based on multidimensional cloud model. Several cloud models are constructed according to training historical data, and obtain the corresponding integrated cloud of key attributes by soft-or calculation. At last we get network future situation value in the inverse operations of membership function. Experiments show that the method has good performance of detection accuracy predict trends stability.
Year
DOI
Venue
2012
10.1109/IMIS.2012.46
IMIS
Keywords
Field
DocType
quantitative values,multidimensional cloud model,cloud model,membership function,network future situation value,network security situation prediction,network security protection,qualitative concept,corresponding integrated cloud,security situation prediction,uncertainty conversion,cloud computing,data distribution,actual situation,posture prediction algorithm,inverse operations,historical data,situational awareness,future network security protection,security of data,integrated cloud,accuracy,predictive models,prediction algorithms,data models,security,algorithm design and analysis
Data modeling,Data mining,Algorithm design,Computer security,Situation awareness,Computer science,Network security,Membership function,Qualitative Concept,Computer security model,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-1328-5
1
0.39
References 
Authors
1
2
Name
Order
Citations
PageRank
Rui-Fen Wu110.39
Guolong Chen25211.10