A method for Network Security Situation Prediction Based on CMA一RBF Model

A method for Network Security Situation Prediction Based on CMA一RBF Model

A method for network security situation prediction is proposed，where the covariance matrix adaptation evolution strategy algorithm(CMA-ES)is used to optimize the parameters of the radial basis neural network forecasting model(RBF)，which makes the forecasting model have superior ability, and C月n func...

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Bibliographic Details
Main Authors: YANG Ming, HU Guan-yu, LIU Qian
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2017-04-01
Series:Journal of Harbin University of Science and Technology
Subjects:
network security situatron prediction; covariance】】atrix adaptation evolution strategy algorithm; Radial basis function neural network; time Ser1eS prediction
id doaj-ef8533779f03432e9581eb474bc84b7f
record_format Article
spelling doaj-ef8533779f03432e9581eb474bc84b7f2020-11-24T21:06:05ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832017-04-0114014410.15938/j.jhust.2017.02.026A method for Network Security Situation Prediction Based on CMA一RBF ModelYANG Ming HU Guan-yuLIU QianA method for network security situation prediction is proposed，where the covariance matrix adaptation evolution strategy algorithm(CMA-ES)is used to optimize the parameters of the radial basis neural network forecasting model(RBF)，which makes the forecasting model have superior ability, and C月n function quickly find out the rules of the complex time pre(11Ct the netWOrk seCUrlty sltuatlOn， Ser1eS. The simulations results show that the proposed method tradltlOnal pre(11CtlOn can accurately and has better prediction accuracy than methods. network security situatron prediction; covariance】】atrix adaptation evolution strategy algorithm; Radial basis function neural network; time Ser1eS prediction
collection DOAJ
language zho
format Article
sources DOAJ
author YANG Ming
HU Guan-yu
LIU Qian
spellingShingle YANG Ming
HU Guan-yu
LIU Qian
A method for Network Security Situation Prediction Based on CMA一RBF Model
Journal of Harbin University of Science and Technology
network security situatron prediction; covariance】】atrix adaptation evolution strategy algorithm; Radial basis function neural network; time Ser1eS prediction
author_facet YANG Ming
HU Guan-yu
LIU Qian
author_sort YANG Ming
title A method for Network Security Situation Prediction Based on CMA一RBF Model
title_short A method for Network Security Situation Prediction Based on CMA一RBF Model
title_full A method for Network Security Situation Prediction Based on CMA一RBF Model
title_fullStr A method for Network Security Situation Prediction Based on CMA一RBF Model
title_full_unstemmed A method for Network Security Situation Prediction Based on CMA一RBF Model
title_sort method for network security situation prediction based on cma一rbf model
publisher Harbin University of Science and Technology Publications
series Journal of Harbin University of Science and Technology
issn 1007-2683
publishDate 2017-04-01
description A method for network security situation prediction is proposed，where the covariance matrix adaptation evolution strategy algorithm(CMA-ES)is used to optimize the parameters of the radial basis neural network forecasting model(RBF)，which makes the forecasting model have superior ability, and C月n function quickly find out the rules of the complex time pre(11Ct the netWOrk seCUrlty sltuatlOn， Ser1eS. The simulations results show that the proposed method tradltlOnal pre(11CtlOn can accurately and has better prediction accuracy than methods.
topic network security situatron prediction; covariance】】atrix adaptation evolution strategy algorithm; Radial basis function neural network; time Ser1eS prediction
work_keys_str_mv AT yangming amethodfornetworksecuritysituationpredictionbasedoncmayīrbfmodel
AT huguanyu amethodfornetworksecuritysituationpredictionbasedoncmayīrbfmodel
AT liuqian amethodfornetworksecuritysituationpredictionbasedoncmayīrbfmodel
AT yangming methodfornetworksecuritysituationpredictionbasedoncmayīrbfmodel
AT huguanyu methodfornetworksecuritysituationpredictionbasedoncmayīrbfmodel
AT liuqian methodfornetworksecuritysituationpredictionbasedoncmayīrbfmodel
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