Detecting GPS spoofing attack via deep recurrent neural network
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We propose DeepPOSE, a deep learning model, to address the noise introduced in sensor readings and detect GPS spoofing attacks on mobile platforms.
Detecting GPS Spoofing Attack Via Deep Recurrent Neural Network
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We propose DeepPOSE, a deep learning model, to address the noise introduced in sensor readings and detect GPS spoofing attacks on mobile platforms.
While GPS becomes an indispensable element in our daily lives, it is rather vulnerable to GPS spoofing attacks even by low-cost hardware, resulting in ...
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DeepPOSE: Detecting GPS spoofing attack via deep recurrent neural network. P Jiang, H Wu, C Xin. Digital Communications and Networks 8 (5), 791-803, 2022. 35 ...
Oct 16, 2024 · Jiang et al. proposed “DeepPOSE”, that analyzes the GNSS signals received from the satellite and detects GPS spoofing attack using recurrent ...
Xin, “DeepPOSE: Detecting GPS spoofing attack via deep recurrent neural network,” Digital Communications and. Networks, vol.8, 2021. [23] J. Farrell and M ...
This paper provides an overview of the threats to GPS and the state-of-the-art techniques for attack detection and countermeasures.
This paper considers a GPS spoofing detection problem. A GPS spoofing attack ... DeepPOSE: Detecting GPS spoofing attack via deep recurrent neural network.
Jan 15, 2022 · Several studies based on traditional machine learning (ML) techniques have been proposed to classify and detect GPS spoofing attacks on UAVs.
DeepPOSE: Detecting GPS spoofing attack via deep recurrent neural network. ... A Deep-Learning-Based GPS Signal Spoofing Detection Method for Small UAVs.