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...
| Päätekijät: | , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | zho |
| Julkaistu: |
Editorial Department of Journal on Communications
2018-12-01
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| Sarja: | Tongxin xuebao |
| Aiheet: | |
| Linkit: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018286/ |
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Metric and classification model for privacy data based on Shannon information entropy and BP neural network
Julkaistu 2018-12-01
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