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

Sergey Chuprov, Ilya Viksnin, Iuliia Kim, Egor Marinenkov, Maria Usova, Eduard Lazarev, Timofey Melnikov and Danil Zakoldaev
Additional contact information
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
Timofey Melnikov: Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia
Danil Zakoldaev: Faculty of Secure Information Technologies, ITMO University, 197101 St. Petersburg, Russia

Energies, 2019, vol. 12, issue 23, 1-19

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.

Keywords: trust; reputation; autonomous vehicle; intersection management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/23/4527/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/23/4527/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:23:p:4527-:d:291720

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().