Wi-Fi security evaluation model based on BP neural network
A Wi-Fi security evaluation model was proposed based on BP neural network.Firstly a large number of Wi-Fi hotspots was analyzed,safety information sources about wireless hotspots were selected.Secondly,a model of BP neural network was constructed,the weights were adjusted,and the evaluation system f...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2016-10-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016247/ |
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author | Hai-yan KANG Han YAN Hao-ran HUANG Xuan1 SUN |
author_facet | Hai-yan KANG Han YAN Hao-ran HUANG Xuan1 SUN |
author_sort | Hai-yan KANG |
collection | DOAJ |
description | A Wi-Fi security evaluation model was proposed based on BP neural network.Firstly a large number of Wi-Fi hotspots was analyzed,safety information sources about wireless hotspots were selected.Secondly,a model of BP neural network was constructed,the weights were adjusted,and the evaluation system for Wi-Fi safety was formed,which was higher credibility.Finally,on the Android flatform the application based on above theory was designed.A lot of experi-ments show the model is able to scan and evaluate the wireless hotspot around user.It can also provide the disconnect function on unsafe wireless hotspot. |
format | Article |
id | doaj-art-02babd88bc244061af32d1cf04e6c2f9 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2016-10-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-02babd88bc244061af32d1cf04e6c2f92025-01-14T07:11:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-0137505659705793Wi-Fi security evaluation model based on BP neural networkHai-yan KANGHan YANHao-ran HUANGXuan1 SUNA Wi-Fi security evaluation model was proposed based on BP neural network.Firstly a large number of Wi-Fi hotspots was analyzed,safety information sources about wireless hotspots were selected.Secondly,a model of BP neural network was constructed,the weights were adjusted,and the evaluation system for Wi-Fi safety was formed,which was higher credibility.Finally,on the Android flatform the application based on above theory was designed.A lot of experi-ments show the model is able to scan and evaluate the wireless hotspot around user.It can also provide the disconnect function on unsafe wireless hotspot.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016247/Wi-Fiintelligent protection shieldAndroidWi-Fi security evaluation |
spellingShingle | Hai-yan KANG Han YAN Hao-ran HUANG Xuan1 SUN Wi-Fi security evaluation model based on BP neural network Tongxin xuebao Wi-Fi intelligent protection shield Android Wi-Fi security evaluation |
title | Wi-Fi security evaluation model based on BP neural network |
title_full | Wi-Fi security evaluation model based on BP neural network |
title_fullStr | Wi-Fi security evaluation model based on BP neural network |
title_full_unstemmed | Wi-Fi security evaluation model based on BP neural network |
title_short | Wi-Fi security evaluation model based on BP neural network |
title_sort | wi fi security evaluation model based on bp neural network |
topic | Wi-Fi intelligent protection shield Android Wi-Fi security evaluation |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016247/ |
work_keys_str_mv | AT haiyankang wifisecurityevaluationmodelbasedonbpneuralnetwork AT hanyan wifisecurityevaluationmodelbasedonbpneuralnetwork AT haoranhuang wifisecurityevaluationmodelbasedonbpneuralnetwork AT xuan1sun wifisecurityevaluationmodelbasedonbpneuralnetwork |