Metric and classification model for privacy data based on Shannon information entropy and BP neural network

Metric and classification model for privacy data based on Shannon information entropy and BP neural network

Aiming at the requirements of privacy metric and classification for the difficulty of private data identification in current network environment, a privacy data metric and classification model based on Shannon information entropy and BP neural network was proposed. The model establishes two layers o...

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Bibliographic Details
Main Authors: Yihan YU, Yu FU, Xiaoping WU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-12-01
Series:Tongxin xuebao
Subjects:
privacy security
information entropy
BP neural network
privacy metrics
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018286/
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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018286/

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