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NeoStarling: An Efficient and Scalable Collaborative Blockchain-Enabled Obstacle Mapping Solution for Vehicular

Rubén Juárez1, Borja Bordel1

  • 1Department of Informatics Systems, Universidad Politécnica de Madrid, 28031 Madrid, Spain.

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This study introduces NeoStarling, a blockchain system for secure obstacle mapping in vehicular networks. It enhances data reliability and scalability for intelligent transportation systems.

Keywords:
HMACIntelligent Transportation SystemsInterPlanetary File SystemVANETauthenticationblockchaindata reliabilitysecurity

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Area of Science:

  • Intelligent Transportation Systems
  • Computer Networking
  • Cybersecurity

Background:

  • Vehicular networks (VANETs) are crucial for intelligent transportation systems, but face challenges in data security, privacy, and scalability.
  • Existing vehicle-to-vehicle solutions struggle to ensure data veracity and detect malicious vehicles.
  • Blockchain integration in VANETs aims to solve these issues, but current systems like Starling are computationally intensive.

Purpose of the Study:

  • To propose NeoStarling, a scalable and efficient blockchain-based system for secure and reliable obstacle mapping in VANETs.
  • To address the limitations of existing blockchain solutions in terms of computational overhead and scalability.
  • To improve data security, privacy, and reliability in dense vehicular environments.

Main Methods:

  • Developed NeoStarling, a system utilizing an opportunistic mutual authentication protocol based on hash functions.
  • Implemented lightweight cryptography and optimized message exchange protocols.
  • Evaluated system performance focusing on authentication frequency, efficiency, and scalability.

Main Results:

  • The NeoStarling system demonstrated a 35% increase in system efficiency.
  • Scalability was improved by 50% compared to previous blockchain-based mechanisms.
  • Reduced the frequency of authentication processes through an opportunistic approach.

Conclusions:

  • NeoStarling offers a scalable and efficient solution for secure obstacle mapping in VANETs.
  • The system effectively enhances data reliability and addresses security concerns in intelligent transportation.
  • Lightweight cryptography and optimized protocols are key to improving VANET performance and scalability.