Towards Vehicle-to-Infrastructure Connectivity, Location Privacy and Trust Management in Vehicular Networks
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Date
2021
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Abstract
The vehicular network is in its flourished stage, and its various applications related to
safety, traffic efficiency, and infotainment have made it more appealing. This thesis
explores the vehicular network in detail, associated challenges, existing solutions from the
research community and standardization bodies, state-of-the-art solutions, and future
research directions. The work in this thesis focuses on three key challenges related to
seamless vehicle-to-infrastructure connectivity, location privacy, and trust management.
The first contribution of the thesis is towards the vehicle-to-infrastructure (V2I) connectivity
issues. The second contribution of the thesis is towards the location privacy issues in a
vehicular network. First, we propose a scheme called masqueraded probabilistic flooding
for source-location privacy (MPFSLP) that provides non-repudiation, message
authentication, integrity, and non-traceability to a great extent. We also propose a second
scheme named cooperative pseudonym exchange and scheme permutation (CPESP) with
the same objective. In this thesis, we also address another important challenge, trust
management issue in a vehicular network. We propose a blockchain-based decentralized
trust management system to address the critical challenges of existing and traditional
centralized and decentralized solutions.
Description
Supervisor: Sukumar Nandi
Keywords
COMPUTER SCIENCE AND ENGINEERING