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Deep Learning Based Anomaly Detection for SecuringADS-B in NextGen Aviation
Linkoping University.
Linkoping University.
Federal Institute of Sao Paulo.
Linkoping University.
2026 (English)Conference paper (Other academic)
Abstract [sv]

Denna artikel presenterar ett omfattande ramverk för avvikelsedetektering som är utformat för att säkra det Automatic Dependent Surveillance–Broadcast (ADS-B)-systemet som används i NextGen-flygtrafikmiljön.
Abstract [en]

This paper presents a comprehensive anomaly detection framework designed to secure the Automatic Dependent Surveillance–Broadcast (ADS-B) system used in the NextGen air transportation environment.
Place, publisher, year, edition, pages
IEEE Aerospace Conference (IEEE) , 2026.
Series
Trafikverkets forskningsportföljer
Keywords [en]
Luftfartsområdet
Keywords [sv]
Luftfart, Luftfartsområdet
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
FOI-portföljer, Luftfartsområdet
Identifiers
URN: urn:nbn:se:trafikverket:diva-22127OAI: oai:DiVA.org:trafikverket-22127DiVA, id: diva2:2054649
Conference
2026 IEEE Aerospace Conference
Projects
Monitorering och anomlidetektion av dataströmmar och beslutsprocesser i avancerad Digital ATS (MONAD)
Funder
Swedish Transport Administration, TRV 2022/108269Available from: 2026-04-21 Created: 2026-04-21 Last updated: 2026-04-21

Open Access in DiVA

Deep Learning Based Anomaly Detection for SecuringADS-B in NextGen Aviation(5277 kB)114 downloads
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Electrical Engineering, Electronic Engineering, Information Engineering

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Total: 1392 hits
43444546474849 49 of 49
CiteExportLink to record
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Language
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