A secure authentication framework for IoV based on blockchain and ensemble learning

IF 5.8 2区计算机科学 Q1 TELECOMMUNICATIONS

Vehicular Communications Pub Date : 2024-08-23 DOI:10.1016/j.vehcom.2024.100836

Wenxian Jiang , Xianglong Lv , Jun Tao

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引用次数: 0

Abstract

A secure authentication framework based on blockchain and ensemble learning is proposed to address the problem that vehicle identity privacy data in Internet of Vehicles (IoV) is vulnerable to theft and tampering. First, a secure and efficient authentication method based on blockchain and Physical Unclonable Function (PUF) is implemented, which ensures the identity privacy of the vehicle when accessing IoV, and improves the problem of high resource overhead of the traditional IoV authentication scheme while guaranteeing security, and the computational overhead is about 2.424 ms at the first level of security framework. Secondly, an intrusion detection method based on Whale Optimization Algorithm (WOA) and Extreme Gradient Boosting (XGBoost) is proposed, and the detection model trained based on this method can effectively detect various attacks against IoV. As a security method at the second level of secure framework, the method outperforms related works in detecting malicious attacks with a detection accuracy of 98.41% for ToN-IoT and 99.99% for BoT-IoT.

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基于区块链和集合学习的物联网安全认证框架

针对车联网（IoV）中车辆身份隐私数据易被窃取和篡改的问题，提出了一种基于区块链和集合学习的安全认证框架。首先，实现了基于区块链和物理不可篡改函数（PUF）的安全高效认证方法，保证了车辆访问车联网时的身份隐私，在保证安全的前提下改善了传统车联网认证方案资源开销大的问题，在一级安全框架下计算开销约为2.424毫秒。其次，提出了基于鲸鱼优化算法（WOA）和极梯度提升算法（XGBoost）的入侵检测方法，基于该方法训练的检测模型可以有效检测针对物联网的各种攻击。作为安全框架第二层的安全方法，该方法在检测恶意攻击方面优于相关研究，其对 ToN-IoT 的检测准确率为 98.41%，对 BoT-IoT 的检测准确率为 99.99%。

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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来源期刊

Vehicular Communications Engineering-Electrical and Electronic Engineering

CiteScore

12.70

自引率

10.40%

发文量

审稿时长

62 days

期刊介绍： Vehicular communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Standardization efforts on vehicular communication are also underway to make vehicular transportation safer, greener and easier. The aim of the journal is to publish high quality peer–reviewed papers in the area of vehicular communications. The scope encompasses all types of communications involving vehicles, including vehicle–to–vehicle and vehicle–to–infrastructure. The scope includes (but not limited to) the following topics related to vehicular communications: Vehicle to vehicle and vehicle to infrastructure communications Channel modelling, modulating and coding Congestion Control and scalability issues Protocol design, testing and verification Routing in vehicular networks Security issues and countermeasures Deployment and field testing Reducing energy consumption and enhancing safety of vehicles Wireless in–car networks Data collection and dissemination methods Mobility and handover issues Safety and driver assistance applications UAV Underwater communications Autonomous cooperative driving Social networks Internet of vehicles Standardization of protocols.