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An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques †
The topic of big data has attracted increasing interest in recent years. The emergence of big data leads to new difficulties in terms of protection models used for data privacy, which is of necessity for sharing and processing data. Protecting individuals’ sensitive information while maintaining the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512893/ https://www.ncbi.nlm.nih.gov/pubmed/33265463 http://dx.doi.org/10.3390/e20050373 |