面向车联网的区块链智能:挑战与解决方案

IF 34.4 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Communications Surveys and Tutorials Pub Date : 2023-08-15 DOI:10.1109/COMST.2023.3305312

Xiaojie Wang;Hailin Zhu;Zhaolong Ning;Lei Guo;Yan Zhang

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引用次数: 5

摘要

随着通信和网络技术的发展，车联网(IoV)已成为智能交通的基础。区块链和机器学习(ML)的发展促进了车联网的普及，它们可以有效地解决当前车联网中的去中心化、网络安全和数据隐私问题。本文对车联网中的区块链和机器学习进行了综述，并总结了支持车联网中区块链智能的相应技术。重要的是，区块链智能被提出作为整合区块链和机器学习的关键，结合两者的优势，推动车联网的快速发展。我们讨论了在车联网中实现区块链智能的一般框架、问题、要求和优势。在其优势的驱动下，我们从可靠交互、网络安全和数据隐私、可信环境和可扩展性四个方面总结了区块链智能在车联网中的解决方案。最后，总结了当前车联网中区块链智能尚未解决的问题和挑战，为车联网的未来发展提供了指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Blockchain Intelligence for Internet of Vehicles: Challenges and Solutions

With the development of communication and networking technologies, the Internet of Vehicles (IoV) has become the foundation of smart transportation. The development of blockchain and Machine Learning (ML) has contributed to the pervasiveness of the IoV, and they can effectively address the current issues of decentralisation, cyber security and data privacy in the IoV. In this article, blockchain and ML in the IoV are both reviewed, and corresponding technologies to support blockchain intelligence in the IoV are summarized. Importantly, blockchain intelligence is proposed as a key to integrate blockchain and ML, combining the advantages of both to drive the rapid development of the IoV. We discuss general frameworks, issuses, requirements and advantages for the implementation of blockchain intelligence in the IoV. Driven by its advantages, we summarize solutions of blockchain intelligence in the IoV from four aspects, including reliable interaction, network security and data privacy, trustworthy environment and scalability. Finally, a summary of current unresolved issues and challenges of blockchain intelligence in the IoV is presented, which provides guidelines for the future development of the IoV.

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来源期刊

IEEE Communications Surveys and Tutorials COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

80.20

自引率

2.50%

发文量

审稿时长

6 months

期刊介绍： IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues. A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.