BTV2P: Blockchain-based trust model for secure vehicles and pedestrians networks

Massinissa Chelghoum; Gueltoum Bendiab; Mohamed Benmohammed; Stavros Shiaeles; Emanuele Bellini

doi:10.1109/CSR57506.2023.10224934

BTV2P: Blockchain-based trust model for secure vehicles and pedestrians networks

Massinissa Chelghoum, Gueltoum Bendiab, Mohamed Benmohammed, Stavros Shiaeles, Emanuele Bellini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

With the arrival of connected and autonomous vehicles, Vehicle-to-Pedestrian (V2P) communications are promising to facilitate efficient future of mobility on the road by ensuring maximum protection and safety for both drivers and pedestrians. However, this new technology poses new security and privacy challenges that should be taken into account. For instance, a probable malicious node claiming to be a legitimate pedestrian or vehicle within the network can impact the traffic flow, or even cause serious congestion and traffic accidents by broadcasting fake observations or phenomena on the roads. Therefore, it is crucial to identify legitimate vehicles and road users against adversaries pretending to be one. The aim of this paper is to address these issues, by proposing a distributed trust management scheme that relies on blockchain technology and a trust computation approach for efficient and secure management of trust relationships between pedestrians and vehicles in Vehicle-to-Pedestrian (V2P) networks.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	148-153
Number of pages	6
ISBN (Electronic)	9798350311709
ISBN (Print)	9798350311716
DOIs	https://doi.org/10.1109/CSR57506.2023.10224934
Publication status	Published - 28 Aug 2023
Event	3rd IEEE International Conference on Cyber Security and Resilience, CSR 2023 - Hybrid, Venice, Italy Duration: 31 Jul 2023 → 2 Aug 2023

Conference

Conference	3rd IEEE International Conference on Cyber Security and Resilience, CSR 2023
Country/Territory	Italy
City	Hybrid, Venice
Period	31/07/23 → 2/08/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

Blockchain
connected and autonomous vehicles
pedestrians
security
trust
V2P

Access to Document

10.1109/CSR57506.2023.10224934

BTV2P Blockchain-based Trust Model for Secure Vehicles and Pedestrians Networks
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Accepted author manuscript (Post-print), 359 KB

Cite this

Chelghoum, M., Bendiab, G., Benmohammed, M., Shiaeles, S., & Bellini, E. (2023). BTV2P: Blockchain-based trust model for secure vehicles and pedestrians networks. In Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023 (pp. 148-153). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSR57506.2023.10224934

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abstract = "With the arrival of connected and autonomous vehicles, Vehicle-to-Pedestrian (V2P) communications are promising to facilitate efficient future of mobility on the road by ensuring maximum protection and safety for both drivers and pedestrians. However, this new technology poses new security and privacy challenges that should be taken into account. For instance, a probable malicious node claiming to be a legitimate pedestrian or vehicle within the network can impact the traffic flow, or even cause serious congestion and traffic accidents by broadcasting fake observations or phenomena on the roads. Therefore, it is crucial to identify legitimate vehicles and road users against adversaries pretending to be one. The aim of this paper is to address these issues, by proposing a distributed trust management scheme that relies on blockchain technology and a trust computation approach for efficient and secure management of trust relationships between pedestrians and vehicles in Vehicle-to-Pedestrian (V2P) networks.",

keywords = "Blockchain, connected and autonomous vehicles, pedestrians, security, trust, V2P",

author = "Massinissa Chelghoum and Gueltoum Bendiab and Mohamed Benmohammed and Stavros Shiaeles and Emanuele Bellini",

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booktitle = "Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023",

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Chelghoum, M, Bendiab, G, Benmohammed, M, Shiaeles, S & Bellini, E 2023, BTV2P: Blockchain-based trust model for secure vehicles and pedestrians networks. in Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023. Institute of Electrical and Electronics Engineers Inc., pp. 148-153, 3rd IEEE International Conference on Cyber Security and Resilience, CSR 2023, Hybrid, Venice, Italy, 31/07/23. https://doi.org/10.1109/CSR57506.2023.10224934

BTV2P: Blockchain-based trust model for secure vehicles and pedestrians networks. / Chelghoum, Massinissa; Bendiab, Gueltoum; Benmohammed, Mohamed et al.
Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 148-153.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - BTV2P

T2 - 3rd IEEE International Conference on Cyber Security and Resilience, CSR 2023

AU - Chelghoum, Massinissa

AU - Bendiab, Gueltoum

AU - Benmohammed, Mohamed

AU - Shiaeles, Stavros

AU - Bellini, Emanuele

PY - 2023/8/28

Y1 - 2023/8/28

N2 - With the arrival of connected and autonomous vehicles, Vehicle-to-Pedestrian (V2P) communications are promising to facilitate efficient future of mobility on the road by ensuring maximum protection and safety for both drivers and pedestrians. However, this new technology poses new security and privacy challenges that should be taken into account. For instance, a probable malicious node claiming to be a legitimate pedestrian or vehicle within the network can impact the traffic flow, or even cause serious congestion and traffic accidents by broadcasting fake observations or phenomena on the roads. Therefore, it is crucial to identify legitimate vehicles and road users against adversaries pretending to be one. The aim of this paper is to address these issues, by proposing a distributed trust management scheme that relies on blockchain technology and a trust computation approach for efficient and secure management of trust relationships between pedestrians and vehicles in Vehicle-to-Pedestrian (V2P) networks.

AB - With the arrival of connected and autonomous vehicles, Vehicle-to-Pedestrian (V2P) communications are promising to facilitate efficient future of mobility on the road by ensuring maximum protection and safety for both drivers and pedestrians. However, this new technology poses new security and privacy challenges that should be taken into account. For instance, a probable malicious node claiming to be a legitimate pedestrian or vehicle within the network can impact the traffic flow, or even cause serious congestion and traffic accidents by broadcasting fake observations or phenomena on the roads. Therefore, it is crucial to identify legitimate vehicles and road users against adversaries pretending to be one. The aim of this paper is to address these issues, by proposing a distributed trust management scheme that relies on blockchain technology and a trust computation approach for efficient and secure management of trust relationships between pedestrians and vehicles in Vehicle-to-Pedestrian (V2P) networks.

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KW - security

KW - trust

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BT - Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 31 July 2023 through 2 August 2023

ER -

BTV2P: Blockchain-based trust model for secure vehicles and pedestrians networks

Abstract

Conference

UN SDGs

Keywords

Access to Document

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