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

Sergey Chuprov,Ilya Viksnin,Eduard Lazarev,Danil Zakoldaev,Iuliia Kim,Egor Marinenkov,Maria Usova,Timofey Melnikov

doi:10.3390/en12234527

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.

Highlights

Scientific and technological progress in the field of information technologies has led to the emergence of such concepts as the smart city and the Internet of things, based on the communication between physical sensors and the “smart” information elements that perform calculations on the data received
true positive (TP) is the case when data transmitted by a model of AV (MAV) were bogus, and its MAV was classified by another group as a saboteur
false positive (FP) is the case when data transmitted by a MAV were correct and its MAV was classified by another group as a saboteur

Summary

Introduction

Scientific and technological progress in the field of information technologies has led to the emergence of such concepts as the smart city and the Internet of things, based on the communication between physical sensors and the “smart” information elements that perform calculations on the data received. The revolution in the field of transport has led to the emergence of Intelligent Transport. Traffic accidents are one of the leading causes of death in the world now. According to the Association for Safe International Road Travel (ASIRT), nearly 1.25 million people die and. 20–50 million are injured or disabled in traffic accidents in the world annually World Health Organization reports traffic accidents are the leading cause of death among people aged 5–29 globally [2]. Studies conducted by Sugiyama et al [3] show that traffic jams and congestion can spontaneously occur

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