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Adversarial Evasion Attacks on SVM-Based GPS Spoofing Detection Systems [PDF]

open access: yesSensors
GPS spoofing remains a critical threat in the use of autonomous vehicles. Machine-learning-based detection systems, particularly support vector machines (SVMs), demonstrate high accuracy in their defense against conventional spoofing attacks.
Sunghyeon An   +2 more
doaj   +2 more sources

DeepPOSE: Detecting GPS spoofing attack via deep recurrent neural network

open access: yesDigital Communications and Networks, 2022
The Global Positioning System (GPS) has become a foundation for most location-based services and navigation systems, such as autonomous vehicles, drones, ships, and wearable devices.
Peng Jiang, Chunsheng Xin
exaly   +3 more sources

Secure localization of land vehicles under GPS spoofing attack with decomposition Kalman filter [PDF]

open access: yesScientific Reports
This study presents a secure vehicle localization framework designed to maintain accuracy under GPS spoofing attacks. The framework integrates a spoofing detection mechanism operating in three adaptive modes and employs refined dynamic, measurement, and ...
Meihong Zhao   +3 more
doaj   +2 more sources

DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks [PDF]

open access: yesPeerJ Computer Science
Uncrewed Aerial Vehicles (UAVs) are frequently utilized in several domains such as transportation, distribution, monitoring, and aviation. A significant security vulnerability is the Global Positioning System (GPS) Spoofing attack, wherein the assailant ...
Aziz Ur Rehman Badar   +6 more
doaj   +3 more sources

Performance Analysis of LSTM, GRU and Hybrid LSTM–GRU Model for Detecting GPS Spoofing Attacks [PDF]

open access: yesSensors
The exposure of Unmanned Aerial Vehicles (UAVs) to Global Positioning System (GPS) spoofing attacks constitutes a major cybersecurity challenge. In this work, we conduct a comparative performance analysis of LSTM, GRU, and sequential LSTM–GRU hybrid deep
Umur Kuriş, Özgür Can Turna
doaj   +2 more sources

Exploring Multi-Channel GPS Receivers for Detecting Spoofing Attacks on UAVs Using Machine Learning [PDF]

open access: yesSensors
All current transportation systems (vehicles, trucks, planes, etc.) rely on the Global Positioning System (GPS) as their main navigation technology. GPS receivers collect signals from multiple satellites and are able to provide more or less accurate ...
Mustapha Mouzai   +3 more
doaj   +2 more sources

An Analysis of GPS Spoofing Attack and Efficient Approach to Spoofing Detection in PX4

open access: yesIEEE Access
Unmanned Aerial Vehicles (UAVs) are aerial vehicles that can go to a particular position without human control or with remote human control. It is because unmanned control mainly relies on position estimation that a lot of research has been studied on ...
Ji Hyuk Jung   +2 more
exaly   +3 more sources

Quantum-Resilient Federated Learning for Multi-Layer Cyber Anomaly Detection in UAV Systems [PDF]

open access: yesSensors
Unmanned Aerial Vehicles (UAVs) are increasingly used in civilian and military applications, making their communication and control systems targets for cyber attacks. The emerging threat of quantum computing amplifies these risks. Quantum computers could
Canan Batur Şahin
doaj   +2 more sources

GPS Spoofing Detection Method for Small UAVs Using 1D Convolution Neural Network

open access: yesSensors, 2022
The navigation of small unmanned aerial vehicles (UAVs), such as quadcopters, significantly relies on the global positioning system (GPS); however, UAVs are vulnerable to GPS spoofing attacks.
Young-Hwa Sung   +3 more
exaly   +3 more sources

On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions [PDF]

open access: yesPeerJ Computer Science, 2021
Unmanned Aerial Systems (UAVs, Drones), initially known only for their military applications, are getting increasingly popular in the civil sector as well.
Shah Zahid Khan   +2 more
doaj   +2 more sources

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