A data enhancement method for security classification of intelligent terminal
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Zhining Lv, Jianfang Song, Wei Deng, Zhongwei Qiao, Yi Chen, Yu Du, Hong Wen
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