Scalable Privacy Preservation in Big Data-A Review

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]  Xiaojiang Du,et al.  Achieving big data privacy via hybrid cloud , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[2]  Antorweep Chakravorty,et al.  Privacy Preserving Data Analytics for Smart Homes , 2013, 2013 IEEE Security and Privacy Workshops.

[3]  Anjana Gosain,et al.  Privacy Preservation in Big Data , 2014 .

[4]  Jinjun Chen,et al.  A MapReduce Based Approach of Scalable Multidimensional Anonymization for Big Data Privacy Preservation on Cloud , 2013, 2013 International Conference on Cloud and Green Computing.

[5]  Jinjun Chen,et al.  HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications , 2015, IEEE Transactions on Parallel and Distributed Systems.

[6]  Ernesto Damiani,et al.  A Discussion of Privacy Challenges in User Profiling with Big Data Techniques: The EEXCESS Use Case , 2013, 2013 IEEE International Congress on Big Data.

[7]  Michael F. Goodchild,et al.  Is privacy still an issue in the era of big data? — Location disclosure in spatial footprints , 2013, 2013 21st International Conference on Geoinformatics.

[8]  Jian Pei,et al.  Proximity-Aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud , 2015, IEEE Transactions on Computers.

[9]  Jeff Sedayao,et al.  Making Big Data, Privacy, and Anonymization Work Together in the Enterprise: Experiences and Issues , 2014, 2014 IEEE International Congress on Big Data.

[10]  Reda Mohamed Hamou,et al.  A Multilayer Evolutionary Homomorphic Encryption Approach for Privacy Preserving over Big Data , 2014, 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

[11]  Koichiro Hayashi,et al.  Social Issues of Big Data and Cloud: Privacy, Confidentiality, and Public Utility , 2013, 2013 International Conference on Availability, Reliability and Security.

[12]  Meiko Jensen Challenges of Privacy Protection in Big Data Analytics , 2013, 2013 IEEE International Congress on Big Data.

[13]  J. Priyadarshini,et al.  Scalable Privacy Preservation in Big Data a Survey , 2015 .

[14]  Raheem A. Beyah,et al.  MACA: A privacy-preserving multi-factor cloud authentication system utilizing big data , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).