Improved l-diversity: Scalable anonymization approach for Privacy Preserving Big Data Publishing

In the era of big data analytics, data owner is more concern about the data privacy. Data anonymization approaches such as k-anonymity, l-diversity, and t-closeness are used for a long time to preserve privacy in published data. However, these approaches cannot be directly applicable to a large amou...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Brijesh B. Mehta, Udai Pratap Rao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2022-04-01
Schriftenreihe:	Journal of King Saud University: Computer and Information Sciences
Schlagworte:	Scalable k-anonymization l-Diversity MapReduce based anonymization Privacy Preserving Big Data Publishing Big data privacy
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1319157819304173
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