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Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System

With the advent of the information age, the effective identification of sensitive information and the leakage of sensitive information during the transmission process are becoming increasingly serious issues. We designed a sensitive information recognition and encryption transmission system based on...

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Detalles Bibliográficos
Autores principales: Liu, Shuang, Yang, Ziheng, Li, Yi, Wang, Shuiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516615/
https://www.ncbi.nlm.nih.gov/pubmed/33285967
http://dx.doi.org/10.3390/e22020192
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author Liu, Shuang
Yang, Ziheng
Li, Yi
Wang, Shuiqing
author_facet Liu, Shuang
Yang, Ziheng
Li, Yi
Wang, Shuiqing
author_sort Liu, Shuang
collection PubMed
description With the advent of the information age, the effective identification of sensitive information and the leakage of sensitive information during the transmission process are becoming increasingly serious issues. We designed a sensitive information recognition and encryption transmission system based on a decision tree. By training sensitive data to build a decision tree, unknown data can be classified and identified. The identified sensitive information can be marked and encrypted to achieve intelligent recognition and protection of sensitive information. This lays the foundation for the development of an information recognition and encryption transmission system.
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spelling pubmed-75166152020-11-09 Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System Liu, Shuang Yang, Ziheng Li, Yi Wang, Shuiqing Entropy (Basel) Article With the advent of the information age, the effective identification of sensitive information and the leakage of sensitive information during the transmission process are becoming increasingly serious issues. We designed a sensitive information recognition and encryption transmission system based on a decision tree. By training sensitive data to build a decision tree, unknown data can be classified and identified. The identified sensitive information can be marked and encrypted to achieve intelligent recognition and protection of sensitive information. This lays the foundation for the development of an information recognition and encryption transmission system. MDPI 2020-02-07 /pmc/articles/PMC7516615/ /pubmed/33285967 http://dx.doi.org/10.3390/e22020192 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Shuang
Yang, Ziheng
Li, Yi
Wang, Shuiqing
Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System
title Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System
title_full Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System
title_fullStr Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System
title_full_unstemmed Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System
title_short Decision Tree-Based Sensitive Information Identification and Encrypted Transmission System
title_sort decision tree-based sensitive information identification and encrypted transmission system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516615/
https://www.ncbi.nlm.nih.gov/pubmed/33285967
http://dx.doi.org/10.3390/e22020192
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