Comparison of GM and ARMA Model for Survivability Prediction in Network Information System

Cheng Li Zhao; Zhi Heng Yu

doi:10.4028/www.scientific.net/AMR.846-847.1648

Paper Titles

A Network Security Situational Awareness Model Based on Information Fusion
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An Improved SIP Security Mechanism of Softswitch Network
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Automatic Discovery of Malware Signature for Anti-Virus Cloud Computing
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Formal Specification of Information Transmission Architecture Based on Automatic Generation of Primitives in Digital Campus
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Comparison of GM and ARMA Model for Survivability Prediction in Network Information System
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Application of Identity-Based Blind Signature in the Performance Evaluation
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Research on Gateway Security Isolation Technology Based on Trusted Computing
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Research on Security Solutions of Softswitch Network Based on IPSec
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Directed Flooding Routing Algorithm Based on Location in DTN
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Comparison of GM and ARMA Model for Survivability...

Comparison of GM and ARMA Model for Survivability Prediction in Network Information System

Abstract:

Network survivability is a hotspot in network information security. Predicting effectively network survivability can grasp the survival state of the system, in order to take appropriate measures to improve the system performance. This paper summarizes the existing lack of prediction methods, and then uses GM (1,1) model and ARMA(p,q) model to predict for the survival system performance. Furthermore, Effectiveness of both methods is verified by an example. At last it expounds their respective advantages and disadvantages.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1648-1651

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1648

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Online since:

November 2013

Authors:

Cheng Li Zhao*, Zhi Heng Yu

Keywords:

ARMA(1,1), GM(1,1), Network Survivability

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* - Corresponding Author

References

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