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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: Proceedings of the 2019 IEEE 90th Vehicular Technology Conference: VTC2019 (In Press)
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WRAP-shadows-dont-lie-ne-sequence-trajectory-misbehaviour-detection-VANETs-Le-2019.pdf - Accepted Version - Requires a PDF viewer. Download (1270Kb) | Preview |
Official URL: http://www.ieeevtc.org/vtc2019fall/accepted_papers...
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) | ||||||
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| 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 |
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| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Vehicular ad hoc networks (Computer networks) , Machine learning | ||||||
| Journal or Publication Title: | Proceedings of the 2019 IEEE 90th Vehicular Technology Conference: VTC2019 | ||||||
| Publisher: | IEEE | ||||||
| Official Date: | 23 July 2019 | ||||||
| Dates: |
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| Date of first compliant deposit: | 16 October 2019 | ||||||
| Article Number: | (77) | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Publisher Statement: | © 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: |
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| 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 | ||||||
| Related URLs: |
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