Abstract

This paper deals with the design of the secure network in an Enhanced Internet of Vehicles by using the Blockchain Governance Game (BGG). The BGG is a system model of a stochastic game to find best strategies towards preparation of preventing a network malfunction by an attacker and the paper applies this game model into the connected vehicle security. Analytically tractable results for decision-making parameters enable to predict the moment for safety operations and to deliver the optimal combination of the number of reserved nodes with the acceptance probability of backup nodes to protect a connected car. This research helps for whom considers the enhanced secure IoV architecture with the BGG within a decentralized network.

Highlights

  • A connected car transfers data to others based on vehicle-to-vehicle (V2V) communication technologies and it typically means that cars are equipped for Internet access usually with wireless local area networks (WLANs)

  • The Internet of Vehicles (IoV) has developed over time from the conventional vehicular networks that connect the smart vehicles to the smart city with the development of Internet of Things (IoT) [2]

  • This paper provides the mathematical functional of the Enhanced BIoV (EBIoV) network architecture for enhancing security from counterfeits of car parts

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Summary

Introduction

The Fog computing pushes information to the neighborhood area network amount of community knowledge at an IoT gateway and it could be combined with the Blockchain technology for enhancing security matters [17]. This paper provides the mathematical functional of the EBIoV network architecture for enhancing security from counterfeits of car parts. The interaction between an attacker and a defender can be modeled as a stochastic game [18,19,25] This joint functional between two players of the predicted time of the first observed threshold to cross the half of the total nodes along with values of each component upon this time. Network and it describes how to construct EBIoV architecture by using the BGG model which is a stochastic game between an attacker and a defender.

Stochastic Game for BIOV Network Security
Enhanced IoV Network Structure
BGG Model for Enhanced BIoV Network
Strategies in Blockchain Governance Game
Memoryless BGG Observation Process for EBIoV Networks
Marginal Means of EBIoV Decision Making Parameters
The EBIoV Optimization Practice
Conclusions
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