通信学报 ›› 2016, Vol. 37 ›› Issue (Z1): 50-56.doi: 10.11959/j.issn.1000-436x.2016247

• 学术论文 • 上一篇    下一篇

基于BP神经网络的Wi-Fi安全评价模型的研究

康海燕1,闫涵1,黄浩然2,孙璇1   

  1. 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
  • 出版日期:2016-10-25 发布日期:2017-01-17
  • 基金资助:
    高水平人才交叉培养“实培计划”(科研)基金资助项目;国家自然科学基金资助项目;北京市社会科学基金资助项目

Wi-Fi security evaluation model based on BP neural network

Hai-yan KANG1,Han YAN1,Hao-ran HUANG2,Xuan1 SUN1   

  1. 1 Department of Information Security,Beijing Information Science and Technology University,Beijing 100192,China
    2 Beijing Founder Electronics Co.Ltd.,Beijing 100085,China
  • Online:2016-10-25 Published:2017-01-17
  • Supported by:
    High Level Talents Cross Training “Tranining Plan”(Rearch) Project;The National Natural Science Foundation of China;Beijing Social Science Found

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。

关键词: Wi-Fi, 智能保护盾, Android, Wi-Fi安全评价

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.

Key words: Wi-Fi, intelligent protection shield, Android, Wi-Fi security evaluation

No Suggested Reading articles found!