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A Light-weight Blockchain Architecture for V2V Knowledge Sharing at Vehicular Edges

机译：在车辆边缘实现V2V知识共享的轻量级区块链架构

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Autonomous vehicles (AV) utilize various machine learning (ML) models for performing tasks such as pedestrian detection, charging station prediction, routing path prediction, intrusion detection, to name a few. To improve the robustness of such applications, decentralized collaboration is imperative in a vehicular network. Moreover, decentralized collaboration poses threats, such as forged message injection, forged identity, and repudiatory activities, as most vehicles are stranger to each other. In recent years, blockchain technology has been widely used in the vehicular network to enhance trust, provenance, and eliminate unauthorized access to the vehicular services. However, most of the existing vehicular blockchain suffers from issues related to scalability, efficiency, and transaction verification. In this paper, we propose a lightweight vehicular blockchain architecture for distributed model sharing to enhance trust, verifiability, and non-repudiation in distributed vehicular collaboration. We propose a novel PoVS-BFT protocol and an effective two-step transaction verification mechanism for model sharing applications. Finally, simulation results are presented to conform to the efficacy of our proposed architecture. Simulation results show that the proposed PoVS-BFT protocol can minimize the size of consensus committee up to 62.5% which in turn reduces communication complexity during the consensus process.
机译：自动驾驶汽车（AV）利用各种机器学习（ML）模型来执行任务，例如行人检测，充电站预测，路线预测，入侵检测等。为了提高这种应用程序的健壮性，在车辆网络中必须进行分散协作。此外，分散的协作带来了威胁，例如伪造的消息注入，伪造的身份和抵赖性活动，因为大多数车辆彼此之间是陌生的。近年来，区块链技术已广泛应用于车辆网络中，以增强信任度，出处并消除对车辆服务的未授权访问。但是，大多数现有的车载区块链都存在与可伸缩性，效率和交易验证相关的问题。在本文中，我们提出了一种用于分布式模型共享的轻量级车辆区块链架构，以增强分布式车辆协作中的信任度，可验证性和不可否认性。我们提出了一种新颖的PoVS-BFT协议和一种有效的两步交易验证机制，用于模型共享应用程序。最后，提出了仿真结果以符合我们提出的体系结构的功效。仿真结果表明，提出的PoVS-BFT协议可以将共识委员会的规模最小化至62.5％，从而降低了共识过程中的通信复杂度。

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