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Research Paper | Information Technology | India | Volume 4 Issue 4, April 2015
A Scalable Two-Phase Bottom-Up Specialization Prospective for Data Anonymization Using Map Reduce on Cloud
Dilipprasad.E | Ajay.R | K. Durairaj [3]
Abstract: A scalable two-phase bottom-up specialization prospective to anonymize large-scale data sets using the Map Reduce framework on cloud, this is todays emerging trend and requirement. The people theydont want to share their sensitive information with unauthorized user, so they want to hide the informationfrom unauthorized person. Emerging techniques such as K-Anonymity, Map Reduceand Data Anonymization are used but there are lot of drawbacksalso occurring in existing method, like privacy, third party access and so on. So in this paperwe are going to see about how bottom up specialization for data anonymization using map reduce on cloud isused for preserving the privacy of users datas.
Keywords: Data anonymization, top-down specialization, MapReduce, cloud, privacy preservation
Edition: Volume 4 Issue 4, April 2015,
Pages: 91 - 93
Similar Articles with Keyword 'MapReduce'
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M.Tech / M.E / PhD Thesis, Information Technology, India, Volume 4 Issue 4, April 2015
Pages: 1788 - 1791Provision of Content Based Service Recommendations using Hadoop and MapReduce
M. Vigneesh | K. Nimala
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Survey Paper, Information Technology, India, Volume 3 Issue 11, November 2014
Pages: 1242 - 1247A Survey on an Efficient Data Caching Mechanism for Big Data Application
Shakil B. Tamboli | Smita Shukla Patel