Leveraging Geographic Information and Social Indicators for Misbehavior Detection in VANETs-Reference-Cited by-同舟云学术

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Leveraging Geographic Information and Social Indicators for Misbehavior Detection in VANETs

Published:2024-02 Issue:1 Volume:70 Page:4411-4424
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Lv Chenchen¹,Cheong Chaklam¹^ORCID,Cao Yue¹^ORCID,Wang Yu¹,Kaiwartya Omprakash²^ORCID,Wu Celimuge³^ORCID

Affiliation:

1. School of Cyber Science and Engineering, Wuhan University, Wuhan, China

2. Department of Computer Science, Nottingham Trent University, Nottingham, U.K

3. Director of Meta-Networking Research Center, The University of Electro-Communications, Chofu, Japan

Funder

EU HORIZONTMAMSCA-SE Project TRACE-V2X

Hubei Province Key Research and Development Program

Wuhan Industrial Base Innovation Program

MIC/SCOPE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10436404.pdf?arnumber=10436404

Reference33 articles.

1. Data communication in VANETs: Protocols, applications and challenges

2. Cyber Attacks via Consumer Electronics: Studying the Threat of Covert Malware in Smart and Autonomous Vehicles

3. NIDS-VSB: Network Intrusion Detection System for VANET using Spark-Based Big Data Optimization and Transfer Learning

4. Provably Secure Conditional-Privacy Access Control Protocol for Intelligent Customers-centric Communication in VANET

5. Towards cyber security for low-carbon transportation: Overview, challenges and future directions

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