A BigData Application use Cloud computing environments provides flexible infrastructure and high storage capacity. For processing huge amount of unstructured data in Big data applications MapReduce Technique is used. Increase in data volume leads to flexible and scalable privacy preservation of such dataset over the MapReduce framework is BigData applications. A Review has been taken for the MapReduceTechnique based big data privacy preservation in Cloud environment. Existing approaches employ local recording anonymization for privacy preserving where data are processed. This processed data used for analysis, mining. The proposed work focus cloud environments on Local recording anonymization for preserving data privacy over BigData using MapReduce.

1. Xuyun Zhang, Wanchun Dou, Jian Pei, Surya Nepal, Chi Yang, Chang Liu, and Jinjun Chen, " Proximity-Aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud" in press, 200x(In press).
2. Wanchun Dou, Xuyun Zhang, Jianxun Liu, and Jinjun Chen," HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big DataApplications", pp. 1-14, 2013.
3. Xueli Huang and Xiaojiang Du, "Achieving Big Data Privacy via Hybrid Cloud", IEEE INFOCOM Workshops: pp. 512-517, 2014.
4. Jeff Sedayao, Rahul Bhardwaj and NakulGorade, "Making Big Data, Privacy, and Anonymization work together in the Enterprise:Experiences and Issues", IEEE International Congress on Big Data, pp. 1-7, 2014.
5. Wenyi Liu, A. SelcukUluagac, and RaheemBeyah, "MACA: A Privacy-Preserving Multi-factor Cloud Authentication System Utilizing Big Data", IEEE INFOCOM Workshops, pp. 518- 523, 2014.
6. Amine Rahmani, Abdelmalek Amine, Reda Mohamed Hamou, "A Multilayer Evolutionary Homomorphic Encryption Approach for Privacy Preserving over Big Data", Proceedings of International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery , pp. 19-26, 2014.
7. Xuyun Zhang, Chi Yang, Surya Nepal, Chang Liu, Wanchun Dou, Jinjun Chen, "A MapReduce Based Approach of Scalable Multidimensional Anonymization for Big Data Privacy Preservation on Cloud", Proceedings of 3rdInternational Conference on Cloud and Green Computing, IEEE, pp. 105-112, 2013.
8. Omar Hasan, Benjamin Habegger, Lionel Brunie, Nadia Bennani, Ernesto Damiani, "A Discussion of Privacy Challenges in User Profiling with Big Data Techniques: The EEXCESS Use Case", IEEE International Congress on Big Data , pp. 1-6, 2013.
9. Meiko Jensen and Kiel, "Challenges of Privacy Protection in Big Data Analytics", Proceedings of International Congress on Big Data, IEEE, pp. 235- 238, 2013.
10. AntorweepChakravorty, Tomasz Wlodarczyk, ChunmingRong, "Privacy Preserving Data Analytics for Smart Homes", IEEE Security and Privacy Workshops, pp. 1-5, 2013.
11. Koichiro Hayashi and Yokohama, "Social Issues of Big Data and Cloud:Privacy, Confidentiality, and Public Utility", Proceedings of 8th International Conference on Availability, Reliability and Security, pp. 506-511, 2013.
12. Linna Li, Michael F. Goodchild and Santa Barbara, " Is Privacy Still an Issue in the Era of Big Data —Location disclosure in spatial footprints", Proceedings of 21st International conference on Geoinformatics, IEEE, pp. 1-4, 2013.
13. M. Saranya, R and SenthamilSelvi, "A Survey on Privacy Preservation for AnonymzingData" International Journal of Emerging Engineering Research and Technology Volume 3, Issue 1, January 2015, PP 17-21.
14. AnjanaGosain, Nikita Chugh, "Privacy Preservation in Big Data", International Journal of Computer Applications (0975 – 8887) Volume 100 – No. 17, August 2014.
15. S. Vennila, J. Priyadarshini, "Scalable Privacy Preservation in Big Data a Survey", Procedia Computer Science 50 (2015) 369-373.

Privacy Bigdata Cloud Mapreduce privacy scalable.