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B-SAFE: Blockchain-Enabled Security Architecture for Connected Vehicle Fog Environment.
Gaba, Priyanka; Raw, Ram Shringar; Kaiwartya, Omprakash; Aljaidi, Mohammad.
Afiliação
  • Gaba P; School of Computer Science Engineering & Technology, Bennett University, Greater Noida 201310, India.
  • Raw RS; School of Computing Science & Engineering, Netaji Subhas University of Technology, New Delhi 110031, India.
  • Kaiwartya O; Department of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UK.
  • Aljaidi M; Computing and Informatics Research Centre, Nottingham Trent University, Nottingham NG11 8NS, UK.
Sensors (Basel) ; 24(5)2024 Feb 26.
Article em En | MEDLINE | ID: mdl-38475051
ABSTRACT
Vehicles are no longer stand-alone mechanical entities due to the advancements in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication-centric Internet of Connected Vehicles (IoV) frameworks. However, the advancement in connected vehicles leads to another serious security threat, online vehicle hijacking, where the steering control of vehicles can be hacked online. The feasibility of traditional security solutions in IoV environments is very limited, considering the intermittent network connectivity to cloud servers and vehicle-centric computing capability constraints. In this context, this paper presents a Blockchain-enabled Security Architecture for a connected vehicular Fog networking Environment (B-SAFE). Firstly, blockchain security and vehicular fog networking are introduced as preliminaries of the framework. Secondly, a three-layer architecture of B-SAFE is presented, focusing on vehicular communication, blockchain at fog nodes, and the cloud as trust and reward management for vehicles. Thirdly, details of the blockchain implementation at fog nodes is presented, along with a flowchart and algorithm. The performance of the evaluation of the proposed framework B-SAFE attests to the benefits in terms of trust, reward points, and threshold calculation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia País de publicação: Suíça