Results 111 to 120 of about 3,720 (193)

A Systematic Literature Review of Current Machine Learning Approaches for Detecting GNSS Spoofing Attacks

IEEE Access
Global Navigation Satellite System (GNSS) spoofing attacks become increasingly important due to their impact on navigation security as well as their significant risks to privacy and infrastructure in civilian and military domains.
Susan Bertram, Luca Eisentraut, Ricardo Buettner   +2 more
doaj   +1 more source

GNSS Spoofing Discovery by Using a Type-Based Detector

IEEE Access
With the increase in the number of devices relying on Global Navigation Satellite Sustems (GNSS) and the wide use of such technology for critical applications, such as in aviation and autonomous vehicles, security is a main concern.
Runzhou Fan, Harry Leib
doaj   +1 more source

Machine Learning For In-Region Location Verification In Wireless Networks

, 2019
In-region location verification (IRLV) aims at verifying whether a user is inside a region of interest (ROI). In wireless networks, IRLV can exploit the features of the channel between the user and a set of trusted access points. In practice, the channel
Brighente, Alessandro, Di Nunzio, Giorgio Maria, Formaggio, Francesco, Tomasin, Stefano   +3 more
core   +1 more source

Analysis of Spoofing Influence of GNSS [PDF]

Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering, 2015
Junwei Nie, Shaojie Ni, Jing Pang
openaire   +1 more source

Sparse Decomposition-Based Anti-Spoofing Framework for GNSS Receiver: Spoofing Detection, Classification, and Position Recovery

Remote Sensing
Achieving reliable navigation is critical for GNSS receivers subject to spoofing attacks. Utilizing the inherent sparsity and inconsistency of spoofing signals, this paper proposes an anti-spoofing framework for GNSS receivers to detect, classify, and ...
Yuxin He, Xuebin Zhuang, Bing Xu
doaj   +1 more source

Joint Antenna Array Attitude Tracking and Spoofing Detection Based on Phase Difference Measurements [PDF]

, 2016
Spoofing attacks are a serious problem for civil GNSS applications with safety content, such as airplane landing or maritime navigation in harbors. Also many strategically important infrastructures, such as electric power grids or mobile communications ...
Appel, Manuel, Konovaltsev, Andriy, Meurer, Michael   +2 more
core  

Avionics-based GNSS integrity augmentation performance in a jamming environment [PDF]

, 2015
Intentional and unintentional radiofrequency interference (i.e., jamming) can result in degraded navigation accuracy or complete loss of the GNSS signal tracking.
Hill, Chris, Moore, Terry, Sabatini, Roberto, Subramanian, Ramasamy   +3 more
core  

GNSS spoofing detection using a maximum likelihood-based sliding window method. [PDF]

PLoS One, 2020
Jeong S.
europepmc   +1 more source

Multi‐source DOA estimation based on multi‐UAV collaboration in complex GNSS spoofing environments

IET Radar, Sonar & Navigation
Unmanned Aerial Vehicles (UAVs) are widely used in both military and civilian sectors due to their maneuverability and versatility. However, UAVs rely on the Global Navigation Satellite System (GNSS) for real‐time accurate navigation and are therefore ...
Jianwei Zhou, Wenjie Wang, Chenhao Zhang
doaj   +1 more source

GNSS-Spoofing Detection via Machine Learning With In-Domain and Cross-Domain Testing and Open-Access I/Q Data

IEEE Access
Global Navigation Satellite Systems (GNSS) are essential for applications that rely on positioning, velocity, and timing (PVT) information. Unfortunately, a surge in interferences in GNSS frequency bands causes severe security risks for various ...
Nadir Khan, Leatile Marata, Jari Nurmi, Elena Simona Lohan   +3 more
doaj   +1 more source