Cellular automata model based power network attack prediction technology

The prediction range of the traditional power network attack range prediction technology was not wide enough, resulting in the poor effect of power network security improvement.For this reason, a power network attack prediction technology based on cellular automata model was proposed.A cellular auto...

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Main Authors: Lijuan YE, Yiting WANG, Licheng ZHU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2023-04-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023099
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author Lijuan YE
Yiting WANG
Licheng ZHU
author_facet Lijuan YE
Yiting WANG
Licheng ZHU
author_sort Lijuan YE
collection DOAJ
description The prediction range of the traditional power network attack range prediction technology was not wide enough, resulting in the poor effect of power network security improvement.For this reason, a power network attack prediction technology based on cellular automata model was proposed.A cellular automata model was built, regarding the cells in the cellular automata as power cells, a cell vitality value conversion rule was established and combined with the attack probability of attackers to predict the development and change of power cells.The power network attack was predicted according to the change trend of central power cells and neighboring power cells.The experimental result shows that, under the influence of time factors, the predicted attack node location of the proposed power network attack prediction technology based on cellular automata model is basically consistent with the original node, and the predicted load removal is always below 100 MW, the proposed technology is more effective.
format Article
id doaj-art-e816f6a1e9544ced820497b2f44ff06e
institution OA Journals
issn 1000-0801
language zho
publishDate 2023-04-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-e816f6a1e9544ced820497b2f44ff06e2025-08-20T02:09:05ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-04-013917317959569354Cellular automata model based power network attack prediction technologyLijuan YEYiting WANGLicheng ZHUThe prediction range of the traditional power network attack range prediction technology was not wide enough, resulting in the poor effect of power network security improvement.For this reason, a power network attack prediction technology based on cellular automata model was proposed.A cellular automata model was built, regarding the cells in the cellular automata as power cells, a cell vitality value conversion rule was established and combined with the attack probability of attackers to predict the development and change of power cells.The power network attack was predicted according to the change trend of central power cells and neighboring power cells.The experimental result shows that, under the influence of time factors, the predicted attack node location of the proposed power network attack prediction technology based on cellular automata model is basically consistent with the original node, and the predicted load removal is always below 100 MW, the proposed technology is more effective.http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023099cellular automata;power network;attack probability;network information;prediction model
spellingShingle Lijuan YE
Yiting WANG
Licheng ZHU
Cellular automata model based power network attack prediction technology
Dianxin kexue
cellular automata;power network;attack probability;network information;prediction model
title Cellular automata model based power network attack prediction technology
title_full Cellular automata model based power network attack prediction technology
title_fullStr Cellular automata model based power network attack prediction technology
title_full_unstemmed Cellular automata model based power network attack prediction technology
title_short Cellular automata model based power network attack prediction technology
title_sort cellular automata model based power network attack prediction technology
topic cellular automata;power network;attack probability;network information;prediction model
url http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023099
work_keys_str_mv AT lijuanye cellularautomatamodelbasedpowernetworkattackpredictiontechnology
AT yitingwang cellularautomatamodelbasedpowernetworkattackpredictiontechnology
AT lichengzhu cellularautomatamodelbasedpowernetworkattackpredictiontechnology