Secure Data Streaming to Untrusted Road Side Units in Intelligent Transportation System

Alireza Jolfaei, Krishna Kant, Hassan Shafei

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

15 Citations (Scopus)

Abstract

The paper considers data security issues in vehicle-to-infrastructure communications, where vehicles stream data to a road side unit. We assume aggregated data in road side units can be stored or used for data analytics. In this environment, there are issues in regards to the scalability of key management and computation limitations at the edge of the network. To address these issues, we suggest the formation of groups in the vehicle layer, where a group leader is assigned to communicate with group devices and the road side unit. We propose a lightweight permutation mechanism for preserving the confidentiality of sensory data.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering
EditorsLisa O'Conner
Place of PublicationNew Jersey, USA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages793-798
Number of pages6
ISBN (Electronic)9781728127767
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019 - Rotorua, New Zealand
Duration: 5 Aug 20198 Aug 2019

Conference

Conference18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019
Country/TerritoryNew Zealand
CityRotorua
Period5/08/198/08/19

Keywords

  • Access control
  • Data security
  • Intelligent transportation system
  • IoT
  • Multi-tenancy
  • Privacy
  • Scalability

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