【Author】
Wang, Xiaoding; Garg, Sahil; Lin, Hui; Kaddoum, Georges; Hu, Jia; Hassan, Mohammad Mehedi
【Source】IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
【Abstract】The fifth-generation (5G) wireless communication technology enables high-reliability and low-latency communications for the Intelligent Transportation System (ITS). However, the growingly sophisticated attacks against 5G-enabled ITS (5G-ITS) might cause serious damages to the valuable data generated by various ITS applications. Therefore, establishing a secure 5G-ITS through trust evaluation against potential threats has become a key objective. Furthermore, as a distributed shared ledger and database, Blockchain has the characteristics of non-tampering, traceability, openness and transparency, can support both trust storage and trust verification for trust evaluation. In this paper, we propose a heterogeneous Blockchain based Hierarchical Trust Evaluation strategy, named BHTE, utilizing the federated deep learning technology for 5G-ITS. Specifically, the trusts of ITS users and task distributers are evaluated using the federated deep learning and hierarchical incentive mechanisms are designed for reasonable and fair rewards and punishments. Moreover, the trusts of ITS users and task distributers are stored on heterogeneous and hierarchical blockchains for trust verification. The extensive experiment results show that: (i) the proposed BHTE can achieve reasonable and fair trust evaluations on both ITS users and task distributers; (ii) the BHTE performs excellently with high system throughput and low latency.
【Keywords】Task analysis; Blockchains; Transportation; Trust management; Privacy; Intelligent transportation systems; 5G mobile communication; Blockchain; trust evaluation; 5G; intelligent transportation systems; federated learning
【标题】面向 5G 智能交通系统的异构区块链和 AI 驱动的分层信任评估
【摘要】第五代 (5G) 无线通信技术为智能交通系统 (ITS) 提供高可靠性和低延迟的通信。然而，针对支持 5G 的 ITS (5G-ITS) 的日益复杂的攻击可能会对各种 ITS 应用程序生成的宝贵数据造成严重损害。因此，通过针对潜在威胁的信任评估建立安全的 5G-ITS 已成为关键目标。此外，区块链作为分布式共享账本和数据库，具有不可篡改、可追溯、公开透明的特点，可以同时支持信任存储和信任验证，进行信任评估。在本文中，我们提出了一种基于异构区块链的分层信任评估策略，名为 BHTE，它利用 5G-ITS 的联合深度学习技术。具体而言，使用联邦深度学习评估 ITS 用户和任务分发者的信任，并设计分层激励机制以实现合理公平的奖惩。此外，ITS 用户和任务分发者的信任存储在异构和分层的区块链上，用于信任验证。广泛的实验结果表明：（i）提出的BHTE可以对ITS用户和任务分发者进行合理公平的信任评估； (ii) BHTE 以高系统吞吐量和低延迟表现出色。
【关键词】任务分析；区块链；运输;信托管理；隐私;智能交通系统； 5G移动通信；区块链；信任评估； 5G；智能交通系统；联邦学习
【文献类型】Article; Early Access
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