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The Vehicular Ad-Hoc Network (VANET) is a vital component of the Internet of Things and smart buildings since it connects millions of autos to improve traffic efficiency. A VANET’s peers (mostly automobiles) connect with one another by exchanging, informations on road and circumstances, improving passenger and street safety, and routing traffic through congested areas. Because VANET is so sensitive, it’s critical to keep a safe, secure, and attack-free environment that allows for uninterrupted data transmission. However, in this paper, we employ blockchain and software defined networks (SDN) to more effectively and efficiently administer and control VANETs. It helps to lessen the strain on the controller by distributing management work between the blockchain and the SDN due to the ubiquitous processing that occurs. We have evaluated our model with some of deep learning models such as LSTM, DenseNet169, VGG16 and 3D-CNN under performance measures Accuracy, Specificity, Detection Rate, Sensitivity and mostly Security in which our model gives higher satisfaction in terms of accuracy and security.

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Securing Vehicular Ad-Hoc Networks: A Blockchain and Software Defined Network Approach for Enhanced Efficiency, Safety, and Security

  • 会议论文

  • 发表日期：

    2025年

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  • F. Ajesh,
  • Felix M. Philip,
  • T. Triwiyanto,
  • Danyalov Shafi,
  • Mammadov Sabir,
  • Vusala Abuzarova,
  • Samira Aliyeva,
  • Dursun Khurshudov,
  • Vugar Hacimahmud Abdullayev,
  • Latafat Mikailzade,
  • Taleh Asgarov

摘要

The Vehicular Ad-Hoc Network (VANET) is a vital component of the Internet of Things and smart buildings since it connects millions of autos to improve traffic efficiency. A VANET’s peers (mostly automobiles) connect with one another by exchanging, informations on road and circumstances, improving passenger and street safety, and routing traffic through congested areas. Because VANET is so sensitive, it’s critical to keep a safe, secure, and attack-free environment that allows for uninterrupted data transmission. However, in this paper, we employ blockchain and software defined networks (SDN) to more effectively and efficiently administer and control VANETs. It helps to lessen the strain on the controller by distributing management work between the blockchain and the SDN due to the ubiquitous processing that occurs. We have evaluated our model with some of deep learning models such as LSTM, DenseNet169, VGG16 and 3D-CNN under performance measures Accuracy, Specificity, Detection Rate, Sensitivity and mostly Security in which our model gives higher satisfaction in terms of accuracy and security.