Utilising blockchain technology and federated learning on the internet of vehicles for the preservation of security and privacy: systematic review

被引:0
|
作者
Alwash, Wisam Makki [1 ]
Aydin, Muhammed Ali [2 ]
Balik, Hasan Huseyin [3 ]
机构
[1] Yildiz Tech Univ, Fac Elect & Elect Engn, Dept Comp Engn, Istanbul, Turkiye
[2] Istanbul Univ Cerrahpasa, Fac Engn, Dept Comp Engn, Istanbul, Turkiye
[3] Istanbul Aydin Univ, Fac Engn, Dept Comp Engn, Istanbul, Turkiye
关键词
internet of vehicles; IoV; cyber-attacks; security; privacy; blockchain; federated learning; FL; ENABLED INTERNET; SCHEME; AUTHENTICATION; NETWORKS;
D O I
10.1504/IJWGS.2024.10065424
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the field of the IoV, connected vehicles utilise network connections to improve transportation efficiency and safety. This will give rise to a range of vulnerabilities, specifically advanced cyber-attacks. These breaches will interrupt the normal functioning of vehicles and pose a significant hazard to the safety of passengers. This paper explores and reviews systematically the dual application of blockchain technology and FL as a fortified defence mechanism within the IoV ecosystem. This article presents illustrations of the risks present within the IoV domain and evaluates the efficacy of existing blockchain and FL methodologies, outlined in several papers, in addressing these potential challenges, particularly in the field of security and privacy. The paper provides an analysis of the advantages, limitations, and factors associated with these technologies in the context of maintaining the security and privacy of the IoV.
引用
收藏
页码:385 / 437
页数:54
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