Protocol for preserving privacy in distributed system (PPDS)

Ashref Aloui, Mounira Msahli, Talel Abdessalem, Stephane Bressan, Sihem Mesnager

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Preserving privacy in Big data is one of the most debated topics of computer security. The fast growing volume of data and the need of companies to extract value from that data creates new complicated and serious security challenges. Despite its wide spread, the common use and the popularity of Big data paradigm, significant risks and challenges are inherent to this new concept, especially when we talk about externalized treatment of sensitive data via insecure network. In this paper we tackle the privacy challenge in Big Data. We focus in special case of data processing. Several Bank agencies want to share data processing while protecting the privacy. We propose a new protocol of communication between agencies. This protocol is composed of three phases: authentication, node head selection and data linking. Some proof of concept are also given in this paper.

Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1885-1890
Number of pages6
ISBN (Electronic)9781509043729
DOIs
Publication statusPublished - 19 Jul 2017
Externally publishedYes
Event13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Spain
Duration: 26 Jun 201730 Jun 2017

Publication series

Name2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Conference

Conference13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Country/TerritorySpain
CityValencia
Period26/06/1730/06/17

Keywords

  • Big Data
  • Cryptography
  • Privacy
  • Security

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