A data enhancement method for security classification of intelligent terminal
With the perfect combination of intelligent terminal and internet.Smart terminals increasingly involve sensitive information such as business secrets and personal privacy.So,it is very necessary to have a model for assessing the security performance of intelligent terminals.Current methods of terminal classification,especially artificial intelligence(AI)technology,which have the problems of long test time and insufficient precision because of insufficient data.In view of this problem,this project proposed a data enhancement method for security classification of intelligent terminals.The article first introduces the method of acquiring enhanced data sets,and then uses the SVM algorithm to implement the hierarchical classification of smart terminals based on the acquired enhanced data sets.The randomness of samples can be enhanced,so the robustness of samples can be enhanced.It is of great significance to the research of terminal security classification.
Data Enhancement Intelligent terminal Grade Assessment Security Classification
Zhining Lv Jianfang Song Wei Deng Zhongwei Qiao Yi Chen Yu Du Hong Wen
Shenzhen Power Supply Bureau Co,Ltd.,Shenzhen 510820,China School of Aeronautics and Astronautics,University of Elec.Science and Tech.of China,Chengdu 611731,C
国际会议
大连
英文
77-82
2019-12-20（万方平台首次上网日期，不代表论文的发表时间）