Results 61 to 70 of about 37,470 (199)
A New GNSS Spoofing Detection Method Using Two Antennas
IEEE Access, 2020 The security of global navigation satellite system (GNSS) has attracted a lot of attention recently. The spoofing detection method using multi-antenna array is one of the most efficient spoofing detection methods due to its unique geometry space. However,
Jiajia Chen +3 more
doaj +1 more source
Spoofer-to-Target Association in Multi-Spoofer Multi-Target Scenario for Stealthy GPS Spoofing
IEEE Access, 2021 Global navigation satellite system (GNSS) based navigation is omnipresent in today’s world, providing position, velocity, and time (PVT) information with inexpensive GPS receivers.
Bethi Pardhasaradhi +2 more
doaj +1 more source
Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks [PDF]
, 2015 Modern power systems have begun integrating synchrophasor technologies into part of daily operations. Given the amount of solutions offered and the maturity rate of application development it is not a matter of "if" but a matter of "when" in regards to ...
Barella, Richard +6 more
core +2 more sources
Building centaur responders: is emergency management ready for artificial intelligence?
Disasters, Volume 50, Issue 3, July 2026.Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
wiley +1 more source
Security of GPS/INS based On-road Location Tracking Systems
, 2018 Location information is critical to a wide-variety of navigation and tracking applications. Today, GPS is the de-facto outdoor localization system but has been shown to be vulnerable to signal spoofing attacks.
Narain, Sashank +2 more
core +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Detecting ADS-B Spoofing Attacks using Deep Neural Networks
, 2019 The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key component of the Next Generation Air Transportation System (NextGen) that manages the increasingly congested airspace.
Bernieri, Giuseppe +5 more
core +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
Spoofing Attack Results Determination in Code Domain Using a Spoofing Process Equation
Sensors, 2019 When a user receiver is tracking an authentic signal, a spoofing signal can be transmitted to the user antenna. The question is under what conditions does the tracking point of the receiver move from the authentic signal to the spoofing signal?
Beomju Shin +5 more
doaj +1 more source
Galileo and EGNOS as an asset for UTM safety and security [PDF]
, 2019 GAUSS (Galileo-EGNOS as an Asset for UTM Safety and Security) is a H2020 project1 that aims at designing and developing high performance positioning systems for drones within the U-Space framework focusing on UAS (Unmanned Aircraft System) VLL (Very Low ...
Andrade-Cetto, Juan +7 more
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