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...
Saved in:
| 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: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018286/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Metric and classification model for privacy data based on Shannon information entropy and BP neural network
by: Yihan YU, et al.
Published: (2018-12-01) -
Entropy-Based Correlation Analysis for Privacy Risk Assessment in IoT Identity Ecosystem
by: Kai-Chih Chang, et al.
Published: (2025-07-01) -
Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV
by: Xia FENG, et al.
Published: (2018-03-01) -
Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV
by: Xia FENG, et al.
Published: (2018-03-01) -
Shape similarity differential privacy trajectory protection mechanism based on relative entropy and K-means
by: Suxia ZHU, et al.
Published: (2021-02-01)