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VANET security enhancement in cloud navigation with Internet of Things-based trust model in deep learning architecture

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Abstract

Many intelligent services are available for developing sensor-based vehicle-to-vehicle communication systems through vehicular ad hoc network (VANET). Although neighbour locating and interconnected vehicle sensor processes have been improved by geographic routing methods. However, reliability and data continuity among data routing are crucial for developing transportation systems due to the high level of mobility and realistic environment. The vehicles' wireless communication is also unrestricted and open, making them more vulnerable to security threats and compromising data for improper uses. This research propose novel technique in security improvement in VANET with vehicle cloud-based navigation and trust model using deep learning techniques. The vehicle network navigation is carried out using cloud network integrated with IoT, and its data transmission to the base station is analysed. Then, the navigated vehicle security is enhanced using trust-based federated transfer quadratic authentication system. The experimental analysis is carried out based on number of vehicles in network as well as its security enhancement. The parameters analysed are throughput, data transmission rate, latency, network traffic analysis, and scalability. The proposed technique attained throughput of 95%, data transmission rate of 67%, latency of 56%, network traffic analysis of 76%, and scalability of 75%.

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Authors and Affiliations

  1. Department of Artificial Intelligence and Machine Learning, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India

    R. Gnanajeyaraman, U. Arul, G. Michael, A. Selvakumar, S. Ramesh & T. Manikandan

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  1. R. Gnanajeyaraman
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  2. U. Arul
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  3. G. Michael
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  4. A. Selvakumar
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  5. S. Ramesh
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  6. T. Manikandan
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Correspondence to R. Gnanajeyaraman.

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Gnanajeyaraman, R., Arul, U., Michael, G. et al. VANET security enhancement in cloud navigation with Internet of Things-based trust model in deep learning architecture. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08180-2

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