GSTR: Secure multi-hop message dissemination in connected vehicles using social trust model

Anirudh Paranjothi, Mohammad S. Khan, Sherali Zeadally, Ajinkya Pawar, David Hicks

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


The emergence of connected vehicles paradigm has made secure communication a key concern amongst the connected vehicles. Communication between the vehicles and Road Side Units (RSUs) is critical to disseminate message among the vehicles. We focus on secure message transmission in connected vehicles using multi-hop social networks environment to deliver the message with varying trustworthiness. We proposed a Geographic Social Trust Routing (GSTR) approach; messages are propagated using multiple hops and by considering the various available users in the vehicular network. GSTR is proposed in an application perspective with an assumption that the users are socially connected. The users are selected based on trustworthiness as defined by social connectivity. The route to send a message is calculated based on the highest trust level of each node by using the node's social network connections along the path in the network. GSTR determines the shortest route using the trusted nodes along the route for message dissemination. GSTR is made delay tolerant by introducing message storage in the cloud if a trustworthy node is unavailable to deliver the message. We compared the proposed approach with Geographic and Traffic Load based Routing (GTLR), Greedy Perimeter Stateless Routing (GPSR), Trust-based GPSR (T-GPSR). The performance results obtained show that GSTR ensures efficient resource utilization, lower packet losses at high vehicle densities.

Original languageEnglish
Article number100071
JournalInternet of Things (Netherlands)
StatePublished - Sep 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.


  • Authentication
  • Multi-hop message dissemination
  • Social networks
  • Trustworthiness

ASJC Scopus subject areas

  • Software
  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Information Systems
  • Engineering (miscellaneous)
  • Management of Technology and Innovation
  • Hardware and Architecture
  • Computer Science Applications


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