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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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018286/ |
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| _version_ | 1841539457304494080 |
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| author | Yihan YU Yu FU Xiaoping WU |
| author_facet | Yihan YU Yu FU Xiaoping WU |
| author_sort | Yihan YU |
| collection | DOAJ |
| description | 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 of privacy metrics from three dimensions. Based on the dataset itself, Shannon information entropy was used to weight the secondary privacy elements, and the privacy of each record in the dataset under the first-level privacy metrics was calculated. The trained BP neural network was used to output the classification result of privacy data without pre-determining the metric weight. Experiments show that the model can measure and classify private data with low false rate and small misjudged deviation. |
| format | Article |
| id | doaj-art-c7588dfeb9dc4ce1bba991b486680d2f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c7588dfeb9dc4ce1bba991b486680d2f2025-01-14T07:15:52ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-12-0139101759722156Metric and classification model for privacy data based on Shannon information entropy and BP neural networkYihan YUYu FUXiaoping WUAiming 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 of privacy metrics from three dimensions. Based on the dataset itself, Shannon information entropy was used to weight the secondary privacy elements, and the privacy of each record in the dataset under the first-level privacy metrics was calculated. The trained BP neural network was used to output the classification result of privacy data without pre-determining the metric weight. Experiments show that the model can measure and classify private data with low false rate and small misjudged deviation.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018286/privacy securityinformation entropyBP neural networkprivacy metrics |
| spellingShingle | Yihan YU Yu FU Xiaoping WU Metric and classification model for privacy data based on Shannon information entropy and BP neural network Tongxin xuebao privacy security information entropy BP neural network privacy metrics |
| title | Metric and classification model for privacy data based on Shannon information entropy and BP neural network |
| title_full | Metric and classification model for privacy data based on Shannon information entropy and BP neural network |
| title_fullStr | Metric and classification model for privacy data based on Shannon information entropy and BP neural network |
| title_full_unstemmed | Metric and classification model for privacy data based on Shannon information entropy and BP neural network |
| title_short | Metric and classification model for privacy data based on Shannon information entropy and BP neural network |
| title_sort | metric and classification model for privacy data based on shannon information entropy and bp neural network |
| topic | privacy security information entropy BP neural network privacy metrics |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018286/ |
| work_keys_str_mv | AT yihanyu metricandclassificationmodelforprivacydatabasedonshannoninformationentropyandbpneuralnetwork AT yufu metricandclassificationmodelforprivacydatabasedonshannoninformationentropyandbpneuralnetwork AT xiaopingwu metricandclassificationmodelforprivacydatabasedonshannoninformationentropyandbpneuralnetwork |