A Secure IoT-Based Machine Learning Framework for Intelligent Vehicle  Communication Systems

Rajeev Kumar Anand, Priya Shukla and Roop Ranjan

A Secure IoT-Based Machine Learning Framework for Intelligent Vehicle Communication Systems

Authors

Rajeev Kumar Anand, Priya Shukla and Roop Ranjan

Keywords:

Machine Learning, Vehicular Security, Intra-Vehicle Communication, Intrusion Detection, Social Spider Optimization, Electric Vehicles, Cybersecurity

Abstract

This paper presents a sophisticated data-driven model that utilizes machine learning techniques to enhance thesecurity of intra-vehicle communication networks. As modern vehicles become increasingly complex and interconnected, it is crucial to implement robust security protocols.

References

[1] Al-Saud, M., Eltamaly, A. M., Mohamed, M. A., & Kavousi-Fard, A. (2019). An intelligent data-driven model to secure intravehicle communications based on machine learning. IEEE Transactions on Industrial Electronics, 67(6), 5112-5119.

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Published

2024-07-15

How to Cite

Rajeev Kumar Anand, Priya Shukla and Roop Ranjan. (2024). A Secure IoT-Based Machine Learning Framework for Intelligent Vehicle Communication Systems. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 3865–3869. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5907