Cluster-Based Malicious Node Detection for False Downstream Data in Fog Computing-Based VANETs-Reference-Cited by-同舟云学术

Cluster-Based Malicious Node Detection for False Downstream Data in Fog Computing-Based VANETs

Published:2022-05-01 Issue:3 Volume:9 Page:1245-1263
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Gu Ke¹^ORCID,Dong XinYing¹^ORCID,Li Xiong²^ORCID,Jia WeiJia³^ORCID

Affiliation:

1. School of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha, China

2. Institute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. Guangdong Key Lab of AI and Multi-modal Data Processing, Beijing Normal University-Hong Kong Baptist University United International College (UIC), Zhuhai, Guangdong Province, China

Funder

National Social Science Fund of China

National Natural Science Foundation of China

Hunan Provincial Education Department Scientific Research Project of China

Hunan Graduate Education Innovation and Professional Ability Improvement Project of China

National Research Fund Project of China

Guangdong Key Lab of AI and Multi-modal Data Processing

BNU-HKBU United International College

Zhuhai Science-Tech Innovation Bureau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/9781297/09669097.pdf?arnumber=9669097

Reference50 articles.

1. On Data-Centric Misbehavior Detection in VANETs

2. Towards privacy aware pseudonymless strategy for avoiding profile generationin VANET;hussain;Proc Int Workshop Inf Secur Appl,2009

3. Performance Evaluation and Detection of Sybil Attacks in Vehicular Ad-Hoc Networks

4. Greedyroutingin highway scenarios: The impact of position faking nodes;leinmller;Proc Workshop Intell Transp,0

5. An Index-Based Provenance Compression Scheme for Identifying Malicious Nodes in Multihop IoT Network

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