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A genetic TDS and BUG with pseudo-identifier for privacy preservation over incremental data sets

  • Published:2017-03-29 Issue:4 Volume:32 Page:2863-2873
  • ISSN:1064-1246
  • Container-title:Journal of Intelligent & Fuzzy Systems
  • language:
  • Short-container-title:IFS

Author:

Sreedhar K.C.1,Faruk M.N.2,Venkateswarlu B.3

Affiliation:

1. Department of Computer Science and Engineering, Srinidhi Institute of Science and Technology, Hyderabad, India

2. Department of Computer Science and Engineering, QIS College of Engineering and Technology, Ongole, India

3. Department of Computer Science and Engineering, VIT University, Vellore, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference33 articles.

1. A view of cloud computing;Armbrust;Commun ACM,2010

2. In cloud, can scientific communities benefit from the economies of scale?;Wang;IEEE Trans Parallel Distrib Syst,2012

3. Opportunities and challenges of cloud computing to improve health care services;Mu-Hsing Kuo;J Med Internet Res,2011

4. A hybrid approach for scalable sub-tree anonymization over big data using MapReduce on cloud;Zhanga;J Com & Sys Science,2014

5. An efficient quasi-identifier index based approach for privacy preservation over incremental datasets on cloud;Zhanga;J Com & Sys Science,2013

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1. Secured personal health records using pattern-based verification and two-way polynomial protocol in cloud infrastructure;International Journal of Ad Hoc and Ubiquitous Computing;2022

2. Privacy Preserving Location Data Publishing: A Machine Learning Approach;IEEE Transactions on Knowledge and Data Engineering;2021-09-01

3. A Cloud-Based Privacy-Preserving e-Healthcare System Using Particle Swarm Optimization;Proceedings of the Third International Conference on Computational Intelligence and Informatics;2020

4. A Cloud-Based Privacy Preserving e-Healthcare System Using Whale Optimization;Learning and Analytics in Intelligent Systems;2020

5. An optimal cloud-based e-healthcare system using k-centroid MVS clustering scheme;Journal of Intelligent & Fuzzy Systems;2018-03-22
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