A systematic review of machine learning techniques for GNSS use cases
A Siemuri, K Selvan, H Kuusniemi… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
Recent advances on jamming and spoofing detection in GNSS
K Radoš, M Brkić, D Begušić - Sensors, 2024 - mdpi.com
Increased interest in the development and integration of navigation and positioning services
into a wide range of receivers makes them susceptible to a variety of security attacks such as …
into a wide range of receivers makes them susceptible to a variety of security attacks such as …
Deep-ensemble-learning-based GPS spoofing detection for cellular-connected UAVs
Unmanned aerial vehicles (UAVs) are an emerging technology in the 5G-and-beyond
systems with the promise of assisting cellular communications and supporting IoT …
systems with the promise of assisting cellular communications and supporting IoT …
Detecting signal spoofing attack in uavs using machine learning models
Due to the tremendous advancement in interactive multimedia systems and technologies,
security has become a major aspect. Advanced technology can be utilized for hacking …
security has become a major aspect. Advanced technology can be utilized for hacking …
Deepsim: Gps spoofing detection on uavs using satellite imagery matching
Unmanned Aerial Vehicles (UAVs), better known as drones, have significantly advanced
fields such as aerial surveillance, military reconnaissance, cadastral surveying, disaster …
fields such as aerial surveillance, military reconnaissance, cadastral surveying, disaster …
A sensor fusion-based GNSS spoofing attack detection framework for autonomous vehicles
This paper presents a sensor fusion-based Global Navigation Satellite System (GNSS)
spoofing attack detection framework for autonomous vehicles (AVs) that consists of two …
spoofing attack detection framework for autonomous vehicles (AVs) that consists of two …
Deep neural network approach to detect GNSS spoofing attacks
This article discusses the use of deep learning schemes for spoofing detection. Particularly,
the characteristics of the so-called Cross Ambiguity Function (CAF) in the presence and …
the characteristics of the so-called Cross Ambiguity Function (CAF) in the presence and …
Tree-based supervised machine learning models for detecting GPS spoofing attacks on UAS
The security of Unmanned Aerial System (UAS) networks is becoming crucial as their
number and application in several fields are increasing every day. For navigation and …
number and application in several fields are increasing every day. For navigation and …
Instance-based supervised machine learning models for detecting GPS spoofing attacks on UAS
Unmanned Aerial Systems (UAS) heavily depend on the Global Positioning System (GPS)
for navigation. However, the unencrypted civilian GPS signals are subject to different types …
for navigation. However, the unencrypted civilian GPS signals are subject to different types …
Convolutional neural network for multipath detection in GNSS receivers
E Munin, A Blais, N Couellan - 2020 International Conference …, 2020 - ieeexplore.ieee.org
Global Navigation Satellite System (GNSS) signals are subject to different kinds of events
causing significant errors in positioning. This work explores the application of Machine …
causing significant errors in positioning. This work explores the application of Machine …