WSN malware infection model based on cellular automaton and static Bayesian game
The theoretical model for the malware infection in wireless sensor networks (WSN) based on cellular automaton and static Bayesian game was studied.Firstly,the malware infection model of WSN based on cellular automaton was built.Secondly,the malware infection dynamics in WSN was predicted based on th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-06-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019147/ |
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| _version_ | 1841530558907154432 |
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| author | Hong ZHANG Shigen SHEN Xiaojun WU Qiying CAO |
| author_facet | Hong ZHANG Shigen SHEN Xiaojun WU Qiying CAO |
| author_sort | Hong ZHANG |
| collection | DOAJ |
| description | The theoretical model for the malware infection in wireless sensor networks (WSN) based on cellular automaton and static Bayesian game was studied.Firstly,the malware infection model of WSN based on cellular automaton was built.Secondly,the malware infection dynamics in WSN was predicted based on the static Bayesian game,through which malware and WSN systems would determine their optimal actions by Bayesian Nash equilibrium (BEN).Then the BEN was applied to the malware infection model to study the spatiotemporal dynamics characteristics of malware infection.Research results show that the proposed model can effectively predict the infection dynamics propagation process of malware in WSN,and the evolution trend of sensor nodes in various states with time,which are of significance for people to formulate measures to reduce the propagation speed of malware. |
| format | Article |
| id | doaj-art-ed74602244b04881b824aabfcdb55931 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-06-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-ed74602244b04881b824aabfcdb559312025-01-15T03:02:45ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-06-0135606959589384WSN malware infection model based on cellular automaton and static Bayesian gameHong ZHANGShigen SHENXiaojun WUQiying CAOThe theoretical model for the malware infection in wireless sensor networks (WSN) based on cellular automaton and static Bayesian game was studied.Firstly,the malware infection model of WSN based on cellular automaton was built.Secondly,the malware infection dynamics in WSN was predicted based on the static Bayesian game,through which malware and WSN systems would determine their optimal actions by Bayesian Nash equilibrium (BEN).Then the BEN was applied to the malware infection model to study the spatiotemporal dynamics characteristics of malware infection.Research results show that the proposed model can effectively predict the infection dynamics propagation process of malware in WSN,and the evolution trend of sensor nodes in various states with time,which are of significance for people to formulate measures to reduce the propagation speed of malware.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019147/WSNmalware infectionspatiotemporal dynamicscellular automatonstatic Bayesian game |
| spellingShingle | Hong ZHANG Shigen SHEN Xiaojun WU Qiying CAO WSN malware infection model based on cellular automaton and static Bayesian game Dianxin kexue WSN malware infection spatiotemporal dynamics cellular automaton static Bayesian game |
| title | WSN malware infection model based on cellular automaton and static Bayesian game |
| title_full | WSN malware infection model based on cellular automaton and static Bayesian game |
| title_fullStr | WSN malware infection model based on cellular automaton and static Bayesian game |
| title_full_unstemmed | WSN malware infection model based on cellular automaton and static Bayesian game |
| title_short | WSN malware infection model based on cellular automaton and static Bayesian game |
| title_sort | wsn malware infection model based on cellular automaton and static bayesian game |
| topic | WSN malware infection spatiotemporal dynamics cellular automaton static Bayesian game |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019147/ |
| work_keys_str_mv | AT hongzhang wsnmalwareinfectionmodelbasedoncellularautomatonandstaticbayesiangame AT shigenshen wsnmalwareinfectionmodelbasedoncellularautomatonandstaticbayesiangame AT xiaojunwu wsnmalwareinfectionmodelbasedoncellularautomatonandstaticbayesiangame AT qiyingcao wsnmalwareinfectionmodelbasedoncellularautomatonandstaticbayesiangame |