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Protocol for preserving privacy in distributed system (PPDS)

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

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

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.

langue originaleAnglais
titre2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages1885-1890
Nombre de pages6
ISBN (Electronique)9781509043729
Les DOIs
étatPublié - 19 juil. 2017
Modification externeOui
Evénement13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Espagne
Durée: 26 juin 201730 juin 2017

Série de publications

Nom2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Une conférence

Une conférence13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Pays/TerritoireEspagne
La villeValencia
période26/06/1730/06/17

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