Preserving privacy in distributed system (PPDS) protocol: Security analysis

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

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

Abstract

Within the diversity of existing Big Data and data processing solutions, meeting the requirements of privacy and security is becoming a real need. In this paper we tackle the security analysis of a new protocol of data processing in distributed system (PPDS). This protocol is composed of three phases: authentication, node head selection and data linking. This paper deals with its formal validation done using HLPSL language via AVISPA. We provide also its security analysis. Some performance analysis based on its proof of concept are also given in this paper.

Original languageEnglish
Title of host publication2017 IEEE 36th International Performance Computing and Communications Conference, IPCCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781509064687
DOIs
Publication statusPublished - 2 Jul 2017
Externally publishedYes
Event36th IEEE International Performance Computing and Communications Conference, IPCCC 2017 - San Diego, United States
Duration: 10 Dec 201712 Dec 2017

Publication series

Name2017 IEEE 36th International Performance Computing and Communications Conference, IPCCC 2017
Volume2018-January

Conference

Conference36th IEEE International Performance Computing and Communications Conference, IPCCC 2017
Country/TerritoryUnited States
CitySan Diego
Period10/12/1712/12/17

Keywords

  • AVISPA
  • Big Data
  • Denial of Service Attack
  • Entropy
  • Formal validation
  • Man-In-The-Middle Attack
  • Security

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