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Vehicular Networks Applications Based on Blockchain Framework

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Enabling Machine Learning Applications in Data Science

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

In recent years, the number of autonomous smart vehicles deployments has continued to increase. In the vehicular ad hoc networks (VANET), driver’s life depends on the efficiency of the vehicles communication. There are several reality, security, privacy and mutual trust concerns in the current VANETs architecture. Since inaccurate and untrusted information could be sent by malicious vehicles, legitimate vehicles cannot distribute sensitive information accurately in real time. Also, the dissemination of critical event messages in a targeted area under a dynamic VANET characteristic remains a challenge. A popular distributed ledger technology, Blockchain, could be a solution to eliminate these vulnerabilities. Blockchain technology is now spreading rapidly across all areas of IoT technology, as well as providing a transparent, scalable, secure and privacy-friendly environment. Blockchain is a distributed, decentralized network and digital public ledger used to store the transaction or services that is performed through the linked nodes. This is why building the VANETs over the Blockchain technology is under research at the moment. The objective of this paper is to illustrate the potential work in the field of Blockchain-based vehicle networks by addressing the Blockchain technology integration with vehicle networks. Also, present and compare the existing research that works to overcome the VANETs challenges and satisfy the vehicular network demands.

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Acknowledgements

The authors would like to acknowledge Valeo Interbranch Automotive Software, Egypt, and Nile university research center.

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Correspondence to Mena Safwat .

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Safwat, M., Elgammal, A., Badawy, W., Azer, M.A. (2021). Vehicular Networks Applications Based on Blockchain Framework. In: Hassanien, A.E., Darwish, A., Abd El-Kader, S.M., Alboaneen, D.A. (eds) Enabling Machine Learning Applications in Data Science. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6129-4_28

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