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 …

Security in data-driven satellite applications: An overview and new perspectives

Q Kong, J Liu, X Qu, B Chen, H Bao, L Xu - Signal Processing, 2024 - Elsevier
The worldwide deployment of satellite constellations has received considerable attention in
recent years. In this overview paper, we intensively study the security issues in typical data …

The Detection of Violent Scenes in Cartoon Movies Using Deep Learning Approach

NF Khan, SU Amin, Z Jan, C Yan - IEEE Access, 2024 - ieeexplore.ieee.org
Cartoon movies are a primary source of entertainment for children. However, concerns arise
when these movies inadvertently expose children to violent scenes. This paper addresses …

Emerging trends in signal processing and machine learning for positioning, navigation and timing information: special issue editorial

P Closas, L Ortega, J Lesouple, PM Djurić - EURASIP Journal on …, 2024 - Springer
Location-based services, safety-critical applications, and modern intelligent transportation
systems require reliable, continuous, and precise positioning, navigation, and timing (PNT) …

Enhancing GNSS Signal Authentication through Multi-Antenna Systems

H Tan, N ** Dimensionality Reduction Algorithm and TCNN Model.
MJ Jahantab, S Tohidi, MR Mosavi… - Iranian Journal of …, 2024 - search.ebscohost.com
Abstract Global Positioning System (GPS)-based positioning has become an indispensable
part of our daily lives. A GPS receiver calculates its distance from a satellite by measuring …

Advanced Wildfire Prediction in Morocco: Develo** a Deep Learning Dataset from Multisource Observations

A Jadouli, C El Amrani - IEEE Access, 2024 - ieeexplore.ieee.org
This study introduces a novel dataset for wildfire prediction in Morocco, integrating
multisource observations to address the country's unique geographical and climatic …

[HTML][HTML] Machine Learning and Deep Learning-Based Multi-Attribute Physical-Layer Authentication for Spoofing Detection in LoRaWAN

A Pourghasem, R Kirner, A Tsokanos, I Mporas… - Future Internet, 2025 - mdpi.com
The use of wireless sensor networks (WSNs) in critical applications such as environmental
monitoring, smart agriculture, and industrial automation has created significant security …

Detection of Aerial Spoofing Attacks to LEO Satellite Systems via Deep Learning

J Wigchert, S Sciancalepore, G Oligeri - arxiv preprint arxiv:2412.16008, 2024 - arxiv.org
Detecting spoofing attacks to Low-Earth-Orbit (LEO) satellite systems is a cornerstone to
assessing the authenticity of the received information and guaranteeing robust service …