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Comparative Analysis of Privacy Preserving Approaches for Collaborative Data Processing

  • Urvashi Solanki
  • Bintu KadhiwalaEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 33)

Abstract

Data collection by public and private organizations is increasing for extracting hidden knowledge from it that may be used for assisting decision making process. Moreover, availability of high speed internet and sophisticated data mining tools make sharing of this collected data across various organizations possible. As a consequence, these organizations may share and combine their datasets to retrieve the improved result from the combined data using collaborative data processing. Sharing of such data as it is between collaborative organizations may compromise individual’s privacy as the collected data may contain sensitive information about individuals in its original form. To address this challenge, two main categories of privacy preserving approaches viz. the non-cryptography based approach and the cryptography based approach can be utilized. This paper aims to discuss an insight of these approaches and to highlight the parametric comparison.

Keywords

Collaborative data processing Privacy preserving Cryptographic Non-cryptographic 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Computer Engineering DepartmentSarvajanik College of Engineering and TechnologySuratIndia

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