Integrating Blockchain With Cacc for Trust and Platoon Management

Singh, Pranav Kumar; Singh, Roshan; Nandi, Sunit Kumar; Nandi, Sukumar

doi:10.1002/9781119621201.ch5

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…Ref. [ 85 ] utilized the blockchain at the roadside unit (RSU) and the platoon level to elect a trustworthy leader. Based on the reputation score, each vehicle voted for other vehicles consequently, a vehicle with the highest votes elected as a leader.…”

Section: Cooperative Driving—a Comprehensive Analysis Of the Research Literaturementioning

confidence: 99%

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Malik

Khan

El-Sayed

2021

Sensors

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Sooner than expected, roads will be populated with a plethora of connected and autonomous vehicles serving diverse mobility needs. Rather than being stand-alone, vehicles will be required to cooperate and coordinate with each other, referred to as cooperative driving executing the mobility tasks properly. Cooperative driving leverages Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication technologies aiming to carry out cooperative functionalities: (i) cooperative sensing and (ii) cooperative maneuvering. To better equip the readers with background knowledge on the topic, we firstly provide the detailed taxonomy section describing the underlying concepts and various aspects of cooperation in cooperative driving. In this survey, we review the current solution approaches in cooperation for autonomous vehicles, based on various cooperative driving applications, i.e., smart car parking, lane change and merge, intersection management, and platooning. The role and functionality of such cooperation become more crucial in platooning use-cases, which is why we also focus on providing more details of platooning use-cases and focus on one of the challenges, electing a leader in high-level platooning. Following, we highlight a crucial range of research gaps and open challenges that need to be addressed before cooperative autonomous vehicles hit the roads. We believe that this survey will assist the researchers in better understanding vehicular cooperation, its various scenarios, solution approaches, and challenges.

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Section: Cooperative Driving—a Comprehensive Analysis Of the Research Literaturementioning

confidence: 99%

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Malik

Khan

El-Sayed

2021

Sensors

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“…To protect the sensitive information stored in a given truck's platoon records, we provide programmable access control policies that define what entities can access the on-chain data, and the policies are enforced by our blockchain network. The proposed access control policies are based on the Hyperledger Fabric's access control lists (ACLs) 6 , which can manage access to resources by associating a policy. ACL is similar to the XACML [40] that defines a fine-grained, attribute-based access control policy language.…”

Section: Blockchain Network With Access Control Policymentioning

confidence: 99%

“…The security of the platooning systems, which protects them from attacks and unauthorized access to proprietary information about a specific vehicle or fleet specifications, under mixed fleet scenarios has not been studied thus far, though awareness of such aspects has gained increasing attention 4 [5], [6]. To ensure the security of the system, it is crucial to be able to verify a given vehicle's identity information prior to granting it access to join a platoon, ensuring the platoon's integrity and guarding against potential spoofing attacks.…”

Section: Introductionmentioning

confidence: 99%

Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof

Meese

Zhong

et al. 2021

2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)

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Platooning technologies enable trucks to drive cooperatively and automatically, providing benefits including less fuel consumption, greater road capacity, and safety. To establish trust during dynamic platooning formation, ensure vehicular data integrity, and guard platoons against potential attackers in mixed fleet environments, verifying any given vehicle's identity information before granting it access to join a platoon is pivotal. Besides, due to privacy concerns, truck owners may be reluctant to disclose private vehicular information, which can reveal their business data to untrusted third parties. To address these issues, this is the first study to propose an aggregated zeroknowledge proof and blockchain-empowered system for privacypreserving identity verification in truck platooning. We provide the correctness proof and the security analysis of our proposed authentication scheme, highlighting its increased security and fast performance. The platooning formation procedure is re-designed to seamlessly incorporate the proposed authentication scheme, including the 1st catch-up and cooperative driving steps. The blockchain performs the role of verifier within the authentication scheme and stores platooning records on its digital ledger to guarantee data immutability and integrity. In addition, the proposed programmable access control policies enable truck companies to define who is allowed to access their platoon records. We implement the proposed system and perform extensive experiments on the Hyperledger platform. The results show that the blockchain can provide low latency and high throughput, the aggregated approach can offer a constant verification time of 500 milliseconds regardless of the number of proofs, and the platooning formation only takes seconds under different strategies. The experimental results demonstrate the feasibility of our design for use in real-world truck platooning.

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Cooperative vehicular platooning: a multi-dimensional survey towards enhanced safety, security and validation

Filho

Severino

Santos

et al. 2023

Cyber-Physical Systems

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Integrating Blockchain With Cacc for Trust and Platoon Management

Cited by 8 publications

References 27 publications

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof

Cooperative vehicular platooning: a multi-dimensional survey towards enhanced safety, security and validation

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