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：
中国博士后科学基金; 中国国家自然科学基金;
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
收藏
页数：27
相关论文
共 50 条
[1]   Heartbeat message based misbehavior detection scheme for Vehicular Ad-hoc Networks [J].
Barnwal, Rajesh P. ;
Ghosh, Soumya K. .
2012 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), 2012, :29-34
[2]   Security of vehicular ad-hoc networks: A comprehensive survey [J].
Malhi, Avleen Kaur ;
Batra, Shalini ;
Pannu, Husanbir Singh .
COMPUTERS & SECURITY, 2020, 89
[3]   Sybil attack detection in vehicular ad hoc networks (VANETs): a comprehensive survey [J].
Hadri, Habiba ;
Ouadou, Mourad ;
Chakour, Laila ;
Minaoui, Khalid .
INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING, 2025, 21 (02) :453-474
[4]   MAC Layer Misbehavior on Ad Hoc Networks [J].
Nagel, N. ;
Shokranian, R. ;
Bordim, J. L. .
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2009, 9 (11) :1-7
[5]   A Comprehensive Survey on Authentication and Attack Detection Schemes That Threaten It in Vehicular Ad-Hoc Networks [J].
Dong, Shi ;
Su, Huadong ;
Xia, Yuanjun ;
Zhu, Fei ;
Hu, Xinrong ;
Wang, Bangchao .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (12) :13573-13602
[6]   Blockchain-Enhanced Secure Routing Protocols for Vehicular Ad Hoc Networks: A Comprehensive Review [J].
Kamel, Hiba ;
Abed, Ali A. .
2024 IEEE 7TH INTERNATIONAL CONFERENCE ON AUTOMATION, ELECTRONICS AND ELECTRICAL ENGINEERING, AUTEEE, 2024, :624-630
[7]   Hybrid and Multifaceted Context-Aware Misbehavior Detection Model for Vehicular Ad Hoc Network [J].
Ghaleb, Fuad A. ;
Maarof, Mohd Aizaini ;
Zainal, Anazida ;
Al-Rimy, Bander Ali Saleh ;
Saeed, Faisal ;
Al-Hadhrami, Tawfik .
IEEE ACCESS, 2019, 7 :159119-159140
[8]   A Comprehensive Survey on Certificateless Aggregate Signature in Vehicular Ad Hoc Networks [J].
Cahyadi, Eko Fajar ;
Hwang, Min-Shiang .
IETE TECHNICAL REVIEW, 2022, 39 (06) :1265-1276
[9]   MDAC: A New Reputation System for Misbehavior Detection and Control in Ad Hoc Networks [J].
Azer, Marianne A. ;
Saad, Noha Gamal El-Din .
2015 INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC), 2015, :296-301
[10]   Machine Learning and Reputation Based Misbehavior Detection in Vehicular Communication Networks [J].
Gyawali, Sohan ;
Qian, Yi ;
Hu, Rose Qingyang .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (08) :8871-8885
12345