GNSS Spoofing Detection Techniques by Cellular Network Cross-check in Smartphones

2019 ◽  
Author(s):  
Francesco Formaggio ◽  
Silvia Ceccato ◽  
Francesco Basana ◽  
Nicola Laurenti ◽  
Stefano Tomasin
Keyword(s):  
Cellular Network ◽  
Detection Techniques ◽  
Spoofing Detection

scholarly journals Detection of Face Spoofing using Color Texture and Edge Features

2020 ◽  
Vol 8 (5S) ◽  
pp. 33-37
Keyword(s):  
Recognition System ◽  
Replay Attack ◽  
Authorized User ◽  
Detection Techniques ◽  
Detection Approach ◽  
Spoofing Detection ◽  
Wide Scale ◽  
Edge Features ◽  
Face Spoofing ◽  
Color Texture

The wide scale use of facial recognition systems has caused concerns about spoofing attacks. Security is essential requirement for a face recognition system to provide reliable protection against spoofing attacks. Spoofing happens in situations where someone tries to behave as an authorized user to obtain illicitly access the protected system to gain advantage over it. In order to identify spoofing attacks, face spoofing detection approaches have been used. Traditional face spoofing detection techniques are not good enough as most of them focus only on the gray scale information and discarding the color information. Here a face spoofing detection approach with color texture and edge analysis is presented. The approach for investigating the texture of input images, Local binary pattern and Edge Histogram descriptor are proposed. Experiments on a publicly available dataset, Replay attack, showed excellent results compared to existing works.

scholarly journals A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled Data

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3012
Author(s):  
Wenbo Wang ◽  
Ignacio Aguilar Sanchez ◽  
Gianluca Caparra ◽  
Andy McKeown ◽  
Tim Whitworth ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Sampled Data ◽  
Detection Techniques ◽  
Navigation Data ◽  
Correlation Data ◽  
Simulation Based ◽  
Spoofing Detection ◽  
Comprehensive Survey ◽  
Gnss Data

Radio frequency fingerprinting (RFF) methods are becoming more and more popular in the context of identifying genuine transmitters and distinguishing them from malicious or non-authorized transmitters, such as spoofers and jammers. RFF approaches have been studied to a moderate-to-great extent in the context of non-GNSS transmitters, such as WiFi, IoT, or cellular transmitters, but they have not yet been addressed much in the context of GNSS transmitters. In addition, the few RFF-related works in GNSS context are based on post-correlation or navigation data and no author has yet addressed the RFF problem in GNSS with pre-correlation data. Moreover, RFF methods in any of the three domains (pre-correlation, post-correlation, or navigation) are still hard to be found in the context of GNSS. The goal of this paper was two-fold: first, to provide a comprehensive survey of the RFF methods applicable in the GNSS context; and secondly, to propose a novel RFF methodology for spoofing detection, with a focus on GNSS pre-correlation data, but also applicable in a wider context. In order to support our proposed methodology, we qualitatively investigated the capability of different methods to be used in the context of pre-correlation sampled GNSS data, and we present a simulation-based example, under ideal noise conditions, of how the feature down selection can be done. We are also pointing out which of the transmitter features are likely to play the biggest roles in the RFF in GNSS, and which features are likely to fail in helping RFF-based spoofing detection.

ION DETECTION TECHNIQUES APPLIED TO RYDBERG ATOMS IN EXTERNAL FIELDS

1983 ◽  
Vol 44 (C7) ◽  
pp. C7-193-C7-208 ◽  
Author(s):  
F. Penent ◽  
C. Chardonnet ◽  
D. Delande ◽  
F. Biraben ◽  
J. C. Gay
Keyword(s):  
Rydberg Atoms ◽  
External Fields ◽  
Ion Detection ◽  
Detection Techniques

Comparative quantification of phosphatidylcholine in sea urchins eggs by instrumental TLC with various detection techniques

Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
S Ivanova ◽  
I Urakova ◽  
O Pozharitskaya ◽  
A Shikov ◽  
V Makarov
Keyword(s):  
Sea Urchins ◽  
Detection Techniques
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