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...

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Detalles Bibliográficos
Autores principales: Eyupoglu, Can, Aydin, Muhammed Ali, Zaim, Abdul Halim, Sertbas, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512893/
https://www.ncbi.nlm.nih.gov/pubmed/33265463
http://dx.doi.org/10.3390/e20050373

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