Open Access
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
Article Number 03023
Number of page(s) 5
Section Computing
Published online 05 May 2022
  1. M. Baza, N. Lasla, M. Mahmoud, G. Srivastava, M. Abdallah, “B-ride: Ridesharing with privacy-preservation, trust and fair payment atop public blockchain,” IEEE, vol. 8, pp. 1214–1229, (2019). [Google Scholar]
  2. D. Gabay, K. Akkaya, M. Cebe, “Privacy-preserving authentication scheme for connected electric vehicles using blockchain and zero-knowledge proofs,” IEEE, vol. 20, pp. 36–58, (2020). [Google Scholar]
  3. S. Kudva, R. Norderhaug, S. Badsha, S. Sengupta, A. Kayes, “Pebers: Practical Ethereum blockchain-based efficient ride-hailing service,” IEEE, vol. 1, pp. 1–24, (2020). [Google Scholar]
  4. S. Khanji, S. Assaf, “Boosting ridesharing efficiency through blockchain: GreenRide application,” Research Gate, vol. 2, pp. 12–35, (2019). [CrossRef] [Google Scholar]
  5. B. Banik, S. Ar, “Implementation of a secure RideSharing DApp using Smart Contracts on Ethereum Blockchain,” IIETA, vol. 11, pp. 167–173, (2021). [Google Scholar]
  6. M. Baza, M. Mahmoud, G. Srivastava, W. Alasmary, M. Younis, “A light blockchain-powered privacy-preserving organization scheme for ride-sharing services,” IEEE, vol. 10, pp. 9–19, (2021). [Google Scholar]
  7. W. Li, C. Meese, H. Guo, M. Nejad, “Blockchain-enabled identity verification for safe ridesharing leveraging zeroknowledge proof,” IEEE, vol. 11, pp. 41–63, (2020). [Google Scholar]
  8. P. Pal, S. Ruj, “BlockV: A blockchain-enabled peer-peer ride-sharing service,” IEEE, vol. 13, pp. 142–167, (2019). [Google Scholar]
  9. M. Li, L. Zhu, and X. Lin, “Efficient and PrivacyPreserving Carpooling Using Blockchain-Assisted Vehicular Fog Computing,” IEEE, vol. 6, pp. 4573–4584, (2019) [Google Scholar]
  10. R. Gupta, R. Gupta, S. Shanbhag “A Survey of Peer-to- Peer Ride Sharing Services using Blockchain,” IJERT, vol. 10, (2021) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.