Research on terminal data security technology based on NLP label tree

Teng Lu; Zhaowei Cui; Jie Cheng; Wei Hu; Jing Li; Guoqing Wang; Siyao Liu; Dali Yang

doi:10.1117/12.2636798

29 April 2022 Research on terminal data security technology based on NLP label tree

Teng Lu, Zhaowei Cui, Jie Cheng, Wei Hu, Jing Li, Guoqing Wang, Siyao Liu, Dali Yang

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122471I (2022) https://doi.org/10.1117/12.2636798
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

With the in-depth development of informatization, the Internet has become an important position for data security protection, an important network terminal of key infrastructure, and an important target for the infiltration and deep latent of hostile forces. In view of the risk of disclosure of important national and enterprise information caused by illegal transmission of important files by internal personnel, this paper studies the key technologies of content security based on NLP, and proposes a text classification method based on label tree, which effectively improves the accurate management of terminal data.

Citation Download Citation

Teng Lu, Zhaowei Cui, Jie Cheng, Wei Hu, Jing Li, Guoqing Wang, Siyao Liu, and Dali Yang "Research on terminal data security technology based on NLP label tree", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122471I (29 April 2022); https://doi.org/10.1117/12.2636798

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