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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Main Authors: Hai-yan KANG, Han YAN, Hao-ran HUANG, Xuan1 SUN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-10-01
Series:Tongxin xuebao
Subjects:
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