A Credibility Score Algorithm for Malicious Data Detection in Urban Vehicular Networks

A Credibility Score Algorithm for Malicious Data Detection in Urban Vehicular Networks

This paper introduces a method to detect malicious data in urban vehicular networks, where vehicles report their locations to road-side units controlling traffic signals at intersections. The malicious data can be injected by a selfish vehicle approaching a signalized intersection to get the green l...

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Bibliographic Details
Main Authors: Bartłomiej Płaczek, Marcin Bernas, Marcin Cholewa
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Information
Subjects:
vehicular network
vehicular ad-hoc network (VANET)
malicious data
traffic signals
smart city
intelligent transportation systems
Online Access:https://www.mdpi.com/2078-2489/11/11/496

Internet

https://www.mdpi.com/2078-2489/11/11/496

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