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Blockchain-based Secure and Intelligent Sensing Scheme for Autonomous Vehicles Activity Tracking Beyond 5G Networks

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Abstract

For the past few years, the automation of transportation becomes a hot research topic for smart cities. Intelligent Transportation System (ITS) aims to manage and optimize the traffic congestion, road accidents, parking allocation using Autonomous Vehicles (AV) system, where the AVs are internally connected for message passing and critical decision making in time-sensitive applications. The data security in such applications can be offered using Blockchain (BC) technology. But, as per the existing literature, there exists no system which can call AVs automatically based on the situation, i.e., call an ambulance in case of an accident, call logistic service in case of home transfer, and call the traffic department in case of traffic jam. Motivated from the aforementioned reasons, in this article, we propose a BC-based secure and intelligent sensing and tracking architecture for AV system using beyond 5G communication network. Recently, AVs are facing issues with sensing and tracking technology as well as the data thefts. AV system contains sensitive information and transfers it through a communication channel to Connected AVs (CAVs), where the corrupted information or delay of a fraction of a second can lead to a critical situation. So, here we present possib the attacks and safety countermeasures using BC technology to protect the AV system. The proposed architecture ensures secure sensing and tracking of an object through BC by deploying AI algorithms at the edge servers. Also, the beyond 5G network enables communications with low latency and high reliability to meet the desires of the aforementioned time-sensitive applications. The proposed system is evaluated by considering the parameters as mobility and data transfer time against the traditional LTE-A and 5G communication networks. The proposed system outperforms traditional systems and can be suitable for diverse applications where latency, reliability, and security are the prime concerns.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Dakshita Reebadiya, Tejal Rathod, Rajesh Gupta & Sudeep Tanwar

  2. Department of Computer Science Engineering, Thapar Institute of Engineering and Technology, Deemed to be University, Patiala, Punjab, India

    Neeraj Kumar

  3. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Neeraj Kumar

  4. Department of Computer Science and Information Engineering, Asia University, Taichung City, Taiwan

    Neeraj Kumar

  5. King Abdul Aziz University, Jeddah, Saudi Arabia

    Neeraj Kumar

Authors
  1. Dakshita Reebadiya
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  2. Tejal Rathod
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  3. Rajesh Gupta
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  4. Sudeep Tanwar
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  5. Neeraj Kumar
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Correspondence to Sudeep Tanwar or Neeraj Kumar.

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This article belongs to the Topical Collection: Special Issue on Blockchain for Peer-to-Peer Computing

Guest Editors: Keping Yu, Chunming Rong, Yang Cao, and Wenjuan Li

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Reebadiya, D., Rathod, T., Gupta, R. et al. Blockchain-based Secure and Intelligent Sensing Scheme for Autonomous Vehicles Activity Tracking Beyond 5G Networks. Peer-to-Peer Netw. Appl. 14, 2757–2774 (2021). https://doi.org/10.1007/s12083-021-01073-x

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