Home
Author Guide
Editor Guide
Reviewer Guide
Special Issues
Special Issue Introduction
Special Issues List
Topics
Published Issues
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2010
2009
2008
2007
2006
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access Policy
Publication Ethics
Digital Preservation Policy
Editorial Process
Subscription
Contact Us
General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
Abstracting/Indexing:
Scopus
;
DBLP
;
CrossRef
,
EBSCO
,
Google Scholar
;
CNKI,
etc.
E-mail questions
or comments to
editor@jocm.us
Acceptance Rate:
27%
APC:
800 USD
Average Days to Accept:
88 days
3.4
2023
CiteScore
51st percentile
Powered by
Article Metrics in Dimensions
Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2024-10-16
Vol. 19, No. 10 has been published online!
2024-08-20
Vol. 19, No. 8 has been published online!
2024-07-22
Vol. 19, No. 7 has been published online!
Home
>
Published Issues
>
2019
>
Volume 14, No. 5, May 2019
>
VANET Blockchain: A General Framework for Detecting Malicious Vehicles
Ahmad Mostafa
Computer Networks Department Faculty of Informatics and Computer Science The British University in Egypt
Abstract
—Malicious nodes are affecting many of the current networks, specially, the decentralized networks such as VANETs. VANETs are highly decentralized networks that are highly dynamic and include many nodes or vehicles that are introduced and leave the network abruptly. In order to overcome this challenge, we propose using the blockchain technology. Blockchain is an emerging technology that is changing how modern system and technologies operate. Many systems nowadays are based on this technology including the Bitcoin system. However, many other technologies are realizing the potential benefits of the blockchain technology. In this paper, we propose the use of mini blockchain in the detection of malicious vehicles in VANET. We propose a general framework in which malicious vehicles will not be able to gain the trust of other vehicles and be part of the network. This is achieved through the utilization of environmental sensory data and validating the authenticity of the packets, and allowing a vehicle to add different blocks to the blockchain. We show that our framework is able to deal with malicious nodes and with Sybil attacks.
Index Terms
—VANET, blockchain, sybil attacks, authentication, data validation, mini blockchain, fingerprint, malicious nodes
Cite: Ahmad Mostafa, "VANET Blockchain: A General Framework for Detecting Malicious Vehicles," Journal of Communications, vol. 14, no. 5, pp. 356-362, 2019. Doi: 10.12720/jcm.14.5.356-362
4-NT015
PREVIOUS PAPER
Joint Power Control and Channel Assignment in D2D Communication System
NEXT PAPER
Minimizing of Error Detection Using Bartlett-DCT Periodogram in Cognitive Radio Networks