Prediction of network security based on DS evidence theory

Prediction of network security based on DS evidence theory

Network security situation prediction is difficult due to its strong uncertainty, but DS evidence theory performs well in solving the problem of uncertainty. Based on DS evidence theory, this study analyzed the prediction of the network security situation, designed a prediction model based on the im...

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Bibliographic Details
Main Author: Dan Liu
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2020-03-01
Series:ETRI Journal
Subjects:
convergence effect
data source correction
ds evidence theory
network security situation awareness
probability analysis
Online Access:https://doi.org/10.4218/etrij.2019-0147
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spelling doaj-1a96a5c63b1240e3a795906e21be53fe2021-01-05T05:15:53ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632020-03-0142580280710.4218/etrij.2019-014710.4218/etrij.2019-0147Prediction of network security based on DS evidence theoryDan LiuNetwork security situation prediction is difficult due to its strong uncertainty, but DS evidence theory performs well in solving the problem of uncertainty. Based on DS evidence theory, this study analyzed the prediction of the network security situation, designed a prediction model based on the improved DS evidence theory, and carried out a simulation experiment. The experimental results showed that the improved method could predict accurately in the case of a large conflict, and had strong anti‐jamming abilities as compared with the original method. The experimental results prove the effectiveness of the improved method in the prediction of the network security situation and provide some theoretical basis for the further application of DS evidence theory.https://doi.org/10.4218/etrij.2019-0147convergence effectdata source correctionds evidence theorynetwork security situation awarenessprobability analysis
collection DOAJ
language English
format Article
sources DOAJ
author Dan Liu
spellingShingle Dan Liu
Prediction of network security based on DS evidence theory
ETRI Journal
convergence effect
data source correction
ds evidence theory
network security situation awareness
probability analysis
author_facet Dan Liu
author_sort Dan Liu
title Prediction of network security based on DS evidence theory
title_short Prediction of network security based on DS evidence theory
title_full Prediction of network security based on DS evidence theory
title_fullStr Prediction of network security based on DS evidence theory
title_full_unstemmed Prediction of network security based on DS evidence theory
title_sort prediction of network security based on ds evidence theory
publisher Electronics and Telecommunications Research Institute (ETRI)
series ETRI Journal
issn 1225-6463
publishDate 2020-03-01
description Network security situation prediction is difficult due to its strong uncertainty, but DS evidence theory performs well in solving the problem of uncertainty. Based on DS evidence theory, this study analyzed the prediction of the network security situation, designed a prediction model based on the improved DS evidence theory, and carried out a simulation experiment. The experimental results showed that the improved method could predict accurately in the case of a large conflict, and had strong anti‐jamming abilities as compared with the original method. The experimental results prove the effectiveness of the improved method in the prediction of the network security situation and provide some theoretical basis for the further application of DS evidence theory.
topic convergence effect
data source correction
ds evidence theory
network security situation awareness
probability analysis
url https://doi.org/10.4218/etrij.2019-0147
work_keys_str_mv AT danliu predictionofnetworksecuritybasedondsevidencetheory
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