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Big Data Oriented Fuzzy Based Continuous Reputation Systems for VANET

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • T. Thenmozhi

    (Vellore Institute of Technology, School of Computer Science)

  • R. M. Somasundaram

    (SNS College of Engineering)

Abstract

The reputation of the vehicle in the network plays a major role in providing reliability of the information being transmitted by the vehicle. Vehicles can earn a reputation score based on the trust worthiness of the message being transmitted and their level of acceptance in the network by the peer nodes. When the messages are transmitted along with the rating earned by the vehicle, the messages are accepted with a lesser rejection rate. These values of reputation can be made a continuous defining the performance of the vehicle over a short period of time. The proposed approach is to design a continuous rating scheme for the vehicles to offer better authenticity and reliability to the nodes in the network.

Suggested Citation

  • T. Thenmozhi & R. M. Somasundaram, 2020. "Big Data Oriented Fuzzy Based Continuous Reputation Systems for VANET," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1665-1679, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_171
    DOI: 10.1007/978-3-030-41862-5_171
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