BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs

Chen, Biwen; Wang, Zhongming; Xiang, Tao; Yang, Jiyun; He, Debiao; Choo, Kim‐Kwang Raymond

doi:10.1016/j.vehcom.2023.100602

Cited by 18 publications

(5 citation statements)

References 20 publications

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“…To validate the performance of the proposed CBCNN, realistic testing scenarios for detecting malicious vehicles are generated, and the proposed approach is compared to state-of-the-art approaches, namely SCNN [ 31 ], PPCDA [ 37 ], and multi-label classification with label graph superimposing (MCLGS) [ 38 ]. These tests are conducted to determine accuracy, malicious label detection, and loss ratio for realizing practical outcomes.…”

Section: Resultsmentioning

confidence: 99%

“…The proposed approach can enable the verifiability of the local models while ensuring privacy protection. In this context, a privacy-preserving cross-domain authentication (PPCDA) system for vehicular ad hoc networks (VANETs) built on a secure blockchain is suggested [ 37 ]. The suggested approach combines group signing and blockchain technology to achieve its goals.…”

Section: Related Workmentioning

confidence: 99%

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Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things

Razaque,

Bektemyssova,

Yoo

et al. 2023

Sensors

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Deep learning algorithms have a wide range of applications, including cancer diagnosis, face and speech recognition, object recognition, etc. It is critical to protect these models since any changes to them can result in serious losses in a variety of ways. This article proposes the consortium blockchain-enabled conventional neural network (CBCNN), a four-layered paradigm for detecting malicious vehicles. Layer-1 is a convolutional neural network-enabled Internet-of-Things (IoT) model for the vehicle; Layer-2 is a spatial pyramid polling layer for the vehicle; Layer-3 is a fully connected layer for the vehicle; and Layer-4 is a consortium blockchain for the vehicle. The first three layers accurately identify the vehicles, while the final layer prevents any malicious attempts. The primary goal of the four-layered paradigm is to successfully identify malicious vehicles and mitigate the potential risks they pose using multi-label classification. Furthermore, the proposed CBCNN approach is employed to ensure tamper-proof protection against a parameter manipulation attack. The consortium blockchain employs a proof-of-luck mechanism, allowing vehicles to save energy while delivering accurate information about the vehicle’s nature to the “vehicle management system.” C++ coding is employed to implement the approach, and the ns-3.34 platform is used for simulation. The ns3-ai module is specifically utilized to detect anomalies in the Internet of Vehicles (IoVs). Finally, a comparative analysis is conducted between the proposed CBCNN approach and state-of-the-art methods. The results confirm that the proposed CBCNN approach outperforms competing methods in terms of malicious label detection, average accuracy, loss ratio, and cost reduction.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things

Razaque,

Bektemyssova,

Yoo

et al. 2023

Sensors

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“…The poll also indicates outstanding concerns, suggesting VANET research areas. In [60], [65], [59], [25], the authors investigate the feasibility of electric vehicle (EV) self-sovereign decentralised identity system implementation in great detail. Essential terminologies such as EVCC, SECC, OEM, and EVSE were defined by them.…”

Section: Related Workmentioning

confidence: 99%

A New Framework for Enhancing VANETs through Layer 2 DLT Architectures with Multi-Party Threshold Key Management and PETs

Adarbah,

Kiraz,

Kardas

et al. 2024

Preprint

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This study provides an architectural framework and a comprehensive examination of how the combination of threshold key management, privacy-enhancing technologies (e.g., homomorphic encryption, secure multi-party computation), and decentralised ledger technologies (DLT) enhances the security and privacy of vehicle ad-hoc networks (VANETs). We also examine the challenges of existing VANET structures, with a particular focus on trust, privacy, and scalability concerns. Our proposed architecture shifts from centralised to decentralised systems, highlighting the advantages of a decentralized ledger framework, specifically in ensuring the robustness, strong availability, integrity, and resilience of data against various cyber security threats. The architecture uses Layer 2s instead of Layer 1s as Layer 2s is much cheaper and faster. Furthermore, we explore how the aforementioned advanced cryptographic mechanisms are utilized in VANETs for improving key management, the distribution of trust, and data privacy, together with privacy-preserving data analysis, aiming to achieve resilient vehicle-to-everything (V2X) communication and privacy-preserving data analysis. We conclude by highlighting potential future directions for more secure, efficient, and resilient VANET systems in the era of 5G and beyond.

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“…In place of operations-based elliptic curve encryption or bilinear pair cryptography, their solution utilises matrix multiplication to create and validate signatures for messages that are shared between drivers. Chen et al [17] addressed the need for anonymous authentication by recreating a short group signature technique that is both secure and effective for establishing a trail of origin within a given domain. They then proposed BCGS, an integrated blockchain and group signature system, as a secure, privacy-preserving, cross-domain authentication protocol for VANETs.…”

Section: Literature Reviewmentioning

confidence: 99%

Formal validation of authentication scheme in 5G-enabled vehicular networks using AVISPA

Hamdan,

Maklouf,

Mnif

2024

IJEECS

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Smart transportation may come from 5G-enabled cars. Traffic reports include congestion, roads, and driving. Urbanisation and population growth increase traffic accidents and travel time. Traffic accidents kill and injure most people worldwide. Intelligent transportation systems (ITS) improves driver and pedestrian safety. This study connects the VANET to 5G to create a 5G-enabled vehicle network because the road-side unit (RSU) is expensive and unsecure. This study connects numerous automobiles to TA for 5G-BS D2D communication. Data transmissions between autos are risky. Several scholars suggest authentication techniques for safe vehicle-to-vehicle communications. Overhead may enable side-channel attacks with these tactics. A secure and effective efficient and secure authentication-privacy-preserving (ES-APP) system connected TA, 5G-BS, and on-border unit (OBU) was presented. Initialization, vehicle registration, parameter renewal, message signing, single and batch verification are ES-APP steps. The formal evaluation automated verification of internet security protocols and applications (AVISPA) tool with on-the-fly model-checker (OFMC) and attack searcher (ATSE) back-ends secures the suggested ES-APP technique. ES-APP appears impervious to active and passive AVISPA assaults.

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BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs

Cited by 18 publications

References 20 publications

Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things

Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things

A New Framework for Enhancing VANETs through Layer 2 DLT Architectures with Multi-Party Threshold Key Management and PETs

Formal validation of authentication scheme in 5G-enabled vehicular networks using AVISPA

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