Scalable Privacy Preservation in Big Data a Survey

Abstract Cloud computing provides flexible infrastructure and high storage capacity for BigData applications. The MapReduce framework is most preferable for processing huge volume of unstructured data set in BigData. Increase in data volume leads to flexible and scalable privacy preservation of such dataset over the MapReduce framework is BigData applications. A survey have been taken for the MapReduce framework based big data privacy preservation in Cloud environment. Existing approaches employ local recording anonymization for privacy preserving where data are processed for analysis, mining and sharing. The proposed work focus on Global recording anonymization for preserving data privacy over BigData using MapReduce on Cloud environment.

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