Detection of spoofing attacks in aeronautical ad-hoc networks using deep autoencoders

TM Hoang, T Van Chien, T Van Luong… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
We consider an aeronautical ad-hoc network relying on aeroplanes operating in the
presence of a spoofer. The aggregated signal received by the terrestrial base station is …

Spoofing detection in IEEE 802.15. 4 networks based on received signal strength

P Jokar, N Arianpoo, VCM Leung - Ad hoc networks, 2013 - Elsevier
The shared medium used in wireless networks makes them vulnerable to spoofing attacks,
in which an adversary masquerades as one or more legitimate nodes to disturb normal …

Detecting ADS-B spoofing attacks using deep neural networks

X Ying, J Mazer, G Bernieri, M Conti… - … IEEE conference on …, 2019 - ieeexplore.ieee.org
The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key component of
the Next Generation Air Transportation System (NextGen) that manages the increasingly …

[PDF][PDF] A review on spoofing attack detection in wireless adhoc network

M Barapatre, V Chole, L Patil - Int. J. Emerg. Trends Technol. Compu …, 2013 - academia.edu
Wireless networks are vulnerable to many identity-based attacks in which a malicious device
uses forged MAC addresses to masquerade as a specific client or to create multiple …

A kernel density estimation based loss function and its application to asv-spoofing detection

A Gomez-Alanis, JA Gonzalez-Lopez… - IEEE Access, 2020 - ieeexplore.ieee.org
Biometric systems are exposed to spoofing attacks which may compromise their security,
and voice biometrics, also known as automatic speaker verification (ASV), is no exception …

Generative adversarial network for wireless signal spoofing

Y Shi, K Davaslioglu, YE Sagduyu - … of the ACM Workshop on Wireless …, 2019 - dl.acm.org
The paper presents a novel approach of spoofing wireless signals by using a general
adversarial network (GAN) to generate and transmit synthetic signals that cannot be reliably …

Exploiting beam features for spoofing attack detection in mmWave 60-GHz IEEE 802.11 ad networks

N Wang, L Jiao, P Wang, W Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Spoofing attacks pose a serious threat to wireless communications. Exploiting physical-layer
features to counter spoofing attacks is a promising solution. Although various physical-layer …

A machine learning approach for detecting spoofing attacks in wireless sensor networks

EM de Lima Pinto, R Lachowski… - 2018 IEEE 32nd …, 2018 - ieeexplore.ieee.org
Currently, there is a wide variety of low-cost radio technologies being used to enable
wireless communication in some important emerging applications such as smart grids, smart …

Spoofing detection with reinforcement learning in wireless networks

L Xiao, Y Li, G Liu, Q Li… - 2015 IEEE Global …, 2015 - ieeexplore.ieee.org
In this paper, we investigate the PHY-layer authentication in wireless networks, which
exploits PHY-layer channel information such as the received signal strength indicators to …

Machine learning-based spoofing attack detection in mmWave 60GHz IEEE 802.11 ad networks

N Wang, L Jiao, P Wang, W Li… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Spoofing attacks pose a serious threat to wireless communications. Exploiting physical-layer
features to counter spoofing attacks is a promising solution. Although various physical-layer …