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An efficient blockchain assisted dynamic authentication scheme for geo-spatial enabled vehicular network

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Abstract

The primary goal of vehicular networks is to increase vehicle safety as well as transportation efficiency with the application of wireless communications technology. Therefore, it is crucial to develop an effective data distribution mechanism that notifies vehicles of significant safety incidents. Two recent developments that could assist a vehicular network in this regard include geospatial and blockchain technology. With the help of distributed nodes and geo-locations made possible by blockchain technology, it is possible to investigate the patterns of participants both spatially and geographically. The primary objective of this work is to create, implement, and evaluate an effective dynamic authentication scheme for a geospatially enabled vehicular network using blockchain technology. The proposed scheme’s security and correctness are demonstrated using the random oracle model and the study of performance shows that it meets the requirement of less communication and computation overhead. It is also proven secure against active as well as a passive adversary. However, precise informal security analysis and verification have been done using widely adopted “Automated Validation of Internet Security Protocol and Application”(AVISPA) tool. The proposed scheme’s suitability for a vehicular system is demonstrated by its performance and security analysis.

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Data availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

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Funding

This research received no specific grant from any funding agency.

Author information

Authors and Affiliations

  1. Department of Mathematics and Statistics, Saudi Electronic University, An Narjis, 13323, Riyadh, Saudi Arabia

    Anjali Goswami

  2. Department of Mathematics (SCSET), Bennett University, Greater Noida, Uttar Pradesh, 201310, India

    Saurabh Rana

  3. Department of Mathematics, Chandigarh University, Mohali, Punjab, 140301, India

    Deepak Chhikara

Authors
  1. Anjali Goswami
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  2. Saurabh Rana
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  3. Deepak Chhikara
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Contributions

A.G. and S.R. conceived of the presented idea and designed the proposed scheme. D.C. developed the theory and performed the performance analysis. S.R. helped supervise the research paper. All authors read and approved the final manuscript.

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Correspondence to Deepak Chhikara.

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Goswami, A., Rana, S. & Chhikara, D. An efficient blockchain assisted dynamic authentication scheme for geo-spatial enabled vehicular network. Telecommun Syst 83, 241–251 (2023). https://doi.org/10.1007/s11235-023-01016-2

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