The Library
Shadows don’t lie : n-sequence trajectory inspection for misbehaviour detection and classification in VANETs
Tools
Tools
Tools
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
|
PDF
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://doi.org/10.1109/VTCFall.2019.8891137
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: |
|
||||||
| 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: |
|
||||||
| 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: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
