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Open AccessJournal ArticleDOI

GAP-MM: 5G-Enabled Real-Time Autonomous Vehicle Platoon Membership Management Based on Blockchain

Bin Wu, +2 more
- 12 May 2022 - 
- Vol. 2022, pp 1-14
TLDR
A membership management scheme for 5G-enabled RAVP is proposed by integrating revocable attribute-based encryption (RABE) and blockchain, namely, GAP-MM that realizes fine-grained access control of key distribution and malicious vehicle’s key revocation efficiently.
Abstract
Autonomous Vehicle Platoon (AVP) is the most anticipated application of 5G ultrareliable and low latency communications. By joining the preexisting platoon to form the real-time AVP (RAVP), individual vehicles could gain benefits such as fuel consumption reduction and traffic safety enhancement. Unlike the scheduled AVP which only contains fixed vehicles, members in RAVP change frequently since individual vehicles would want to join or leave the platoon any time. Besides, malicious vehicles may attempt to sneak into the RAVP and try to manipulate the platoon. Public key cryptography and access control mechanisms can be adopted to create a relatively isolated area for communication inside the platoon. Nevertheless, there exist few works that take into account the regulation of the dynamic change members in RAVP. In this paper, we propose a membership management scheme for 5G-enabled RAVP by integrating revocable attribute-based encryption (RABE) and blockchain, namely, GAP-MM. It realizes fine-grained access control of key distribution and malicious vehicle’s key revocation efficiently. The sufficient evaluations and security analysis indicate that GAP-MM is practical for RAVP scenario in terms of both efficiency and security.

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Citations
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Journal ArticleDOI

Autonomous Mutual Authentication Protocol in the Edge Networks

TL;DR: The design proposes use of a public-key system, octet-based balanced-tree transitions, challenge–response mechanism, device unique ID (UID), pseudo-random number generator (PRNG), time-stamps, and event specific session keys to demonstrate an autonomous mutual authentication amongst the connected smart devices within the edge networks.
References
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Journal ArticleDOI

A Survey on Platoon-Based Vehicular Cyber-Physical Systems

TL;DR: The fundamental issues in a platoon-based VCPS are discussed, including vehicle platooning/clustering, cooperative adaptive cruise control, platoon- based vehicular communications, etc., all of which are characterized by the tightly coupled relationship between traffic dynamics and VANET behaviors.
Journal ArticleDOI

Bubbles of Trust: A decentralized blockchain-based authentication system for IoT

TL;DR: This paper proposes an original decentralized system called bubbles of trust, which ensures a robust identification and authentication of devices, and protects the data integrity and availability in IoT.
Journal ArticleDOI

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

TL;DR: This paper proposes an effective announcement network called CreditCoin, a novel privacy-preserving incentive announcement network based on Blockchain via an efficient anonymous vehicular announcement aggregation protocol, and shows that CreditCoin is efficient and practical in simulations of smart transportation.
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Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

TL;DR: Li et al. as discussed by the authors proposed a two-stage soft security enhancement solution: miner selection and block verification, which evaluates candidates' reputation using both past interactions and recommended opinions from other vehicles The candidates with high reputation are selected to be active miners and standby miners in order to prevent internal collusion among active miners.
Journal ArticleDOI

Planning of truck platoons: A literature review and directions for future research

TL;DR: In this article, the authors provide a framework to classify various new transportation planning problems that arise in truck platooning, surveys relevant operations research models for these problems in the literature and identifies directions for future research.
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