Privacy Preserving Big Data Publication on Cloud Using Mondrian Anonymization Techniques and Deep Neural Networks

J. Andrew, J. Karthikeyan, Jeffy Jebastin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

In recent trends, privacy preservation is the most predominant factor, on big data analytics and cloud computing. Every organization collects personal data from the users actively or passively. Publishing this data for research and other analytics without removing Personally Identifiable Information (PII) will lead to the privacy breach. Existing anonymization techniques are failing to maintain the balance between data privacy and data utility. In order to provide a trade-off between the privacy of the users and data utility, a Mondrian based k-anonymity approach is proposed. To protect the privacy of high-dimensional data Deep Neural Network (DNN) based framework is proposed. The experimental result shows that the proposed approach mitigates the information loss of the data without compromising privacy.

Original languageEnglish
Title of host publication2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages722-727
Number of pages6
ISBN (Electronic)9781538695333
DOIs
Publication statusPublished - 03-2019
Event5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019 - Coimbatore, India
Duration: 15-03-201916-03-2019

Publication series

Name2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019

Conference

Conference5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019
Country/TerritoryIndia
CityCoimbatore
Period15-03-1916-03-19

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Signal Processing
  • Computer Networks and Communications
  • Computer Science Applications

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