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Reputation and Trust Approach for Security and Safety Assurance in Intersection Management System

Author

Listed:
  • Sergey Chuprov

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia)

  • Ilya Viksnin

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia)

  • Iuliia Kim

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia)

  • Egor Marinenkov

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia)

  • Maria Usova

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia)

  • Eduard Lazarev

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia
    These authors contributed equally to this work.)

  • Timofey Melnikov

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia
    These authors contributed equally to this work.)

  • Danil Zakoldaev

    (Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia)

Abstract

Crossroads are the main traffic jam generators in densely populated cities. Unmanned vehicles and intelligent transportation systems can significantly reduce congestion and improve road safety by eliminating the main cause of traffic accidents—the human factor. However, full confidence in their safety is necessary. This paper addresses the contextual data integrity problem, when an unmanned autonomous vehicle transmits incorrect data due to technical problems, or malicious attacks. We propose an approach based on trust and reputation that allows detecting vehicles transmitting bogus data. To verify the feasibility of the approach on practice, we conducted both software and physical simulations using the model of intersection and unmanned autonomous vehicle models. The simulation results show that the approach applied allows detecting vehicles with bogus data and excluding them from the group, thus increasing the safety of the intersection traversal by other vehicles.

Suggested Citation

  • Sergey Chuprov & Ilya Viksnin & Iuliia Kim & Egor Marinenkov & Maria Usova & Eduard Lazarev & Timofey Melnikov & Danil Zakoldaev, 2019. "Reputation and Trust Approach for Security and Safety Assurance in Intersection Management System," Energies, MDPI, vol. 12(23), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4527-:d:291720
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    References listed on IDEAS

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    1. Hani S. Mahmassani, 2016. "50th Anniversary Invited Article—Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations," Transportation Science, INFORMS, vol. 50(4), pages 1140-1162, November.
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    Cited by:

    1. Renata Żochowska & Marianna Jacyna & Marcin Jacek Kłos & Piotr Soczówka, 2021. "A GIS-Based Method of the Assessment of Spatial Integration of Bike-Sharing Stations," Sustainability, MDPI, vol. 13(7), pages 1-29, April.
    2. Sun, Bin & Zhang, Qijun & Wei, Ning & Jia, Zhenyu & Li, Chunming & Mao, Hongjun, 2022. "The energy flow of moving vehicles for different traffic states in the intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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