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Shadows don’t lie : n-sequence trajectory inspection for misbehaviour detection and classification in VANETs

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Le, Anhtuan and Maple, Carsten (2019) Shadows don’t lie : n-sequence trajectory inspection for misbehaviour detection and classification in VANETs. In: 2019 IEEE 90th Vehicular Technology Conference : VTC2019, Honolulu, Hawaii, 22-25 Sep 2019. Published in: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) ISSN 2577-2465. doi:10.1109/VTCFall.2019.8891137

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Official URL: http://doi.org/10.1109/VTCFall.2019.8891137

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Abstract

This paper presents a machine learning approach to detect and classify misbehaviour in Vehicular Ad-hoc Networks. We describe three novel features obtained from analysis of

Item Type: Conference Item (Paper)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TE Highway engineering. Roads and pavements
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Vehicular ad hoc networks (Computer networks) , Machine learning
Journal or Publication Title: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
Publisher: IEEE
ISSN: 2577-2465
Official Date: November 2019
Dates:
DateEvent
November 2019Published
23 July 2019Accepted
DOI: 10.1109/VTCFall.2019.8891137
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: IEEE
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
CAPRI (TS/P012264/1)Innovate UKhttp://dx.doi.org/10.13039/501100006041
Conference Paper Type: Paper
Title of Event: 2019 IEEE 90th Vehicular Technology Conference : VTC2019
Type of Event: Conference
Location of Event: Honolulu, Hawaii
Date(s) of Event: 22-25 Sep 2019
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