面向5G智能交通系统的区块链安全物联网通信

Q4 Computer Science
S. Kumaresh
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引用次数: 0

摘要

-智能交通系统(ITS)与物联网(IoT)在智慧城市发展中发挥着不可或缺的作用,使现代人类生活方式得到实质性发展。随着第五代(5G)通信技术的出现,多个联网设备之间的高速通信成为可能。而安全性、可靠性和可扩展性是影响ITS通信性能的重要因素。传统的安全模型大多是集中式的,不适合分布式低功耗物联网5G ITS。新时代的分布式账本技术区块链可以提高ITS服务的安全性和可靠性。因此,本文研究了一种基于区块链的安全机制,即基于区块链的安全物联网通信(BSIC),它可以保护5G-ITS免受潜在的安全威胁。BSIC利用具有改进信誉证明(IPoR)的财团区块链模型来实现其目标。它通过集成车辆边缘计算(VEC)服务来处理物联网的资源限制问题。此外,BSIC设计包括两个主要部分:声誉计算策略和IPoR挖掘过程。该模型通过集成基于主观逻辑的声誉评估中的多标准因素,成功构建了安全的物联网通信系统。它根据网络密度和信誉来调整共识池的大小来选择矿工,并以最小的延迟提高共识效率。此外,利用攻击检测率、一致性延迟和信誉估计精度等性能指标对BSIC的效率进行了实验评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Blockchain-Based Secure IoT Communication for 5G Enabled Intelligent Transportation System
– Intelligent Transportation System (ITS) with the internet of things (IoT) plays an integral role in smart city developments and enables substantial developments in modern human lifestyles. With the emergence of Fifth-Generation (5G) communication technologies, high-speed communications are enabled among multiple internet-connected devices. However, security, reliability, and scalability are significant factors that affect the communication performance of ITS. The conventional security models are mostly centralized and unsuitable for distributed low-powered IoT-enabled 5G ITS. The new-age distributed ledger technology blockchain can improve the security and reliability of ITS services. Therefore, this paper investigates a blockchain-based security mechanism, Blockchain-based Secure IoT Communication (BSIC), that protects the 5G-ITS from potential security threats. The BSIC utilizes a consortium blockchain model with Improved Proof of Reputation (IPoR) to achieve its objectives. It handles the resource limitation issues of IoT by integrating Vehicular Edge Computing (VEC) services. Further, the BSIC design includes two main components: reputation computation strategy and the IPoR mining process. The proposed model successfully builds a secure IoT communication system by integrating multi-criteria factors in subjective logic-based reputation estimation. It selects the miners by adjusting the consensus pool size according to network density and reputation and improves the consensus efficiency with minimum delay. Moreover, the experimental evaluations are carried out to analyze the efficiency of BSIC using performance metrics such as attack detection rate, consensus delay, and reputation estimation accuracy.
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来源期刊
International Journal of Computer Networks and Applications
International Journal of Computer Networks and Applications Computer Science-Computer Science Applications
CiteScore
2.30
自引率
0.00%
发文量
40
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