Scalable Multidimensional Anonymization Algorithm Over Big Data Using Map Reduce On Public Cloud

Provided by: Journal of Theoretical and Applied Information Technology
Topic: Big Data
Format: PDF
It appears that everybody observes with special attention, the occurrence of big data and its practice. There is no disbelief that the big data uprising has instigated. Though the practices of big data propose favorable business paybacks, there are substantial privacy implications. Multidimensional generalization anonymization scheme is an actual method for data privacy preservation. Top-Down Specialization (TDS) and Bottom-Up Generalization (BUG) are two methods to attain multidimensional anonymization. However, prevailing methodologies for multidimensional generalization anonymization scheme disconcerts parallelization proficiency, thereby missing scalability while managing big data on cloud.

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