Wi-Fi security evaluation model based on BP neural network

Hai-yan KANG; Han YAN; Hao-ran HUANG; Xuan1 SUN

doi:10.11959/j.issn.1000-436x.2016247

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Wi-Fi security evaluation model based on BP neural network

Contents Papers | 更新时间：2024-06-05

- Wi-Fi security evaluation model based on BP neural network
- Journal on Communications Vol. 37, Issue Z1, Pages: 50-56(2016)
- 作者机构：
  
  1. 北京信息科技大学信息安全系，北京 100192
  2. 北京北大方正电子有限公司，北京 100085
- 作者简介：
- 基金信息：
  
  High Level Talents Cross Training “Tranining Plan”(Rearch) Project(5111623601);The National Natural Science Foundation of China(61370139);The Social Science Foundation of Beijing(15JGB099)
- DOI：10.11959/j.issn.1000-436x.2016247
  CLC： TP312
- Online First：2016-10，
  
  Published：25 October 2016
- 稿件说明：
移动端阅览
Hai-yan KANG, Han YAN, Hao-ran HUANG, et al. Wi-Fi security evaluation model based on BP neural network[J]. Journal on Communications, 2016, 37(Z1): 50-56.
DOI：

Hai-yan KANG, Han YAN, Hao-ran HUANG, et al. Wi-Fi security evaluation model based on BP neural network[J]. Journal on Communications, 2016, 37(Z1): 50-56. DOI： 10.11959/j.issn.1000-436x.2016247.

摘要

提出了基于BP 神经网络的Wi-Fi安全评价模型。首先，分析了大量Wi-Fi热点，选取与无线热点安全相关的信息源；其次，构造BP神经网络模型，并对权值进行调整，形成了有较高可信度的Wi-Fi安全性评估体系；最后，在Android平台上，设计了基于BP 神经网络的Wi-Fi安全模型。实验证明，该安全评价模型能够对用户周边无线热点进行扫描及安全性评估，并提供不安全无线热点断开连接功能。

Abstract

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.

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Keywords

references

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