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Detecting ADS-B Spoofing Attacks using Deep Neural Networks

Detecting ADS-B Spoofing Attacks using Deep Neural Networks

22 April 2019
Xuhang Ying
Joanna Mazer
Giuseppe Bernieri
Mauro Conti
L. Bushnell
Radha Poovendran
    AAML
ArXiv (abs)PDFHTML

Papers citing "Detecting ADS-B Spoofing Attacks using Deep Neural Networks"

5 / 5 papers shown
Title
Ontology-Based Anomaly Detection for Air Traffic Control Systems
Ontology-Based Anomaly Detection for Air Traffic Control Systems
Christopher Neal
Jean-Yves De Miceli
David Barrera
José M. Fernandez
17
2
0
01 Jul 2022
Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems
Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems
Yongxin Liu
Jian Wang
Yingjie Chen
Shuteng Niu
Zhihan Lv
Lei Wu
Dahai Liu
Haoze Song
62
5
0
17 Oct 2021
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly
  detection in air transportation
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation
Antoine Chevrot
Alexandre Vernotte
B. Legeard
AI4TS
57
25
0
08 Sep 2021
RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks
RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks
S. Cohen
Efrat Levy
Avi Shaked
Tair Cohen
Yuval Elovici
A. Shabtai
AAML
36
10
0
13 Jun 2021
PAST-AI: Physical-layer Authentication of Satellite Transmitters via
  Deep Learning
PAST-AI: Physical-layer Authentication of Satellite Transmitters via Deep Learning
Gabriele Oligeri
Simone Raponi
Savio Sciancalepore
Roberto Di Pietro
73
77
0
12 Oct 2020
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