摘要
随着物联网和通信技术的发展,万物互联的时代已经到来。终端是万物互联的节点,得到了广泛应用。因此,对于终端安全测评十分必要,尤其是建立移动智能终端安全性能的客观模型。利用对智能终端各单项安全性能的测试得到测评结果,根据BP神经网络算法建立终端安全等级分类模型,并利用边缘侧的计算资源支持算法的实现,能够达到对移动智能终端安全等级的客观和准确分类,有利于实现在不同安全级别需求下的安全使用。
With the development of the Internet of Things and communication technology, the era of the Internet of Everything has arrived. The intelligent terminal is the node of the Internet of Everything and has been widely used. Therefore, it is very necessary for the mobile intelligent terminal security assessment, especially to establish an objective model of the security performance of the mobile intelligent terminal. By testing the individual security performance of the mobile intelligent terminal, the evaluation results are obtained, and then we propose a model that classification intelligent terminal security risk based on BP Neural Network, and the implementation of the algorithm is supported by computing resources on the edge computing side. The objective and accurate classification of the mobile intelligent terminal security level can be achieved. It is beneficial to use safely under different security level requirements.
作者
侯文静
蒋屹新
文红
雷文鑫
许爱东
HOU Wen-jing;JIANG Yi-xin;WEN Hong;LEI Wen-xin;XU Ai-dong(National Key Laboratory of Science and Technology on Communications,UESTC,Chengdu Sichuan 611731,China;EPRI,China Southern Power Grid Co.,Ltd.,Guangzhou Guangdong 510000,China)
出处
《通信技术》
2018年第10期2455-2458,共4页
Communications Technology
基金
国家重大研发计划(No.2018YFB0904905)~~
关键词
移动智能终端
安全评估
BP神经网络
边缘计算
mobile intelligent terminal
risk assessment
BP neural network
edge computing