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

Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia
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These authors contributed equally to this work.
Energies 2019, 12(23), 4527; https://doi.org/10.3390/en12234527
Received: 28 October 2019 / Revised: 25 November 2019 / Accepted: 25 November 2019 / Published: 28 November 2019
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. View Full-Text
Keywords: trust; reputation; autonomous vehicle; intersection management trust; reputation; autonomous vehicle; intersection management
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Chuprov, S.; Viksnin, I.; Kim, I.; Marinenkov, E.; Usova, M.; Lazarev, E.; Melnikov, T.; Zakoldaev, D. Reputation and Trust Approach for Security and Safety Assurance in Intersection Management System. Energies 2019, 12, 4527.

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