Comprehensive Review on Misbehavior Detection for Vehicular Ad Hoc Networks

被引：9

作者：

Xu, Xiaoya ^{[1
]}

Wang, Yunpeng ^{[1
]}

Wang, Pengcheng ^{[2
]}

机构：

[1] Beihang Univ, Sch Transportat Sci & Engineer, Beijing 100191, Peoples R China

[2] Beihang Univ, Sch Cyber Sci & Technol, Beijing 100191, Peoples R China

来源：

JOURNAL OF ADVANCED TRANSPORTATION | 2022年 / 2022卷

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

VANET SECURITY CHALLENGES; INTRUSION DETECTION; POSITION VERIFICATION; MANAGEMENT-SYSTEM; DETECTION SCHEME; SYBIL ATTACK; TRUST; EFFICIENT; KEY; FRAMEWORK;

D O I：

10.1155/2022/4725805

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Vehicular ad hoc networks (VANETs) can increase road safety and comfort. It needs strong demand for security because the data sent in VANETs influence vehicles' behavior. Existing studies have summarized VANET security, challenge, and attacks. This study aims to present a comprehensive overview of misbehavior detection in VANETs. First, VANET characteristics, security issues, and attacks are discussed. Then, the precise definition of misbehavior, detection mode, and detection objects are presented. Generic misbehavior detection is classified as data-centric and node-centric. In this study, to adapt to the VANETs scenario, we proposed a novel taxonomy of misbehavior detection, which considers the interaction between vehicles and which is refined by emphasizing the detection modes and participants. Finally, the remaining concerns, open issues, and prospective future research directions are discussed.

引用

页数：27

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