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Keyword

ADS-B

Description: An aircraft surveillance technology in which aircraft periodically broadcast their position and other data for tracking by air traffic systems.
Wikidata ID: wiki/Q787172
OpenAlex ID: keywords/ads-b
Bringing up OpenSky: A large-scale ADS-B sensor network for research
2014 · Matthias Schafer, Martin Strohmeier, et al. · International Symposium on Information Processing in Sensor Networks (IPSN) · 410
Large-scale real-world radio signal recognition with deep learning
2021 · Ya TU, Yun LIN, et al. · Chinese Journal of Aeronautics · 354
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Flight Delay Prediction Based on Aviation Big Data and Machine Learning
2019 · Guan Gui, Fan Liu, et al. · IEEE Transactions on Vehicular Technology · 337
Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting
2020 · Amani Al-Shawabka, Francesco Restuccia, et al. · 308
Realities and challenges of nextgen air traffic management: the case of ADS-B
2014 · Martin Strohmeier, Matthias Schafer, et al. · IEEE Communications Magazine · 304
On the Security of the Automatic Dependent Surveillance-Broadcast Protocol
2014 · Martin Strohmeier, Vincent Lenders, et al. · IEEE Communications Surveys & Tutorials · 301
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Security analysis of the ADS-B implementation in the next generation air transportation system
2011 · Donald McCallie, Jonathan Butts, et al. · International Journal of Critical Infrastructure Protection · 261
Ghost in the Air(Traffic): On insecurity of ADS-B protocol and practical attacks on ADS-B devices
2012 · Andrei Costin · Graduate School and Research Center in Digital Science (EURECOM) · 219
Bringing up OpenSky: a large-scale ADS-B sensor network for research
2014 · Mathias Schäfer, Martin Strohmeier, et al. · Information Processing in Sensor Networks · 196
Experimental Analysis of Attacks on Next Generation Air Traffic Communication
2013 · Matthias Schäfer, Vincent Lenders, et al. · Lecture notes in computer science · 167
Overcoming Data Limitations: A Few-Shot Specific Emitter Identification Method Using Self-Supervised Learning and Adversarial Augmentation
2023 · Chao Liu, Xue Fu, et al. · IEEE Transactions on Information Forensics and Security · 164
Analysis of vulnerabilities, attacks, countermeasures and overall risk of the Automatic Dependent Surveillance-Broadcast (ADS-B) system
2017 · Mohsen Riahi Manesh, Naima Kaabouch · International Journal of Critical Infrastructure Protection · 153
UAV collision avoidance based on geometric approach
2008 · Jung-Woo Park, Hyon-Dong Oh, et al. · SICE Annual Conference (SICE) · 142
Using LSTM encoder-decoder algorithm for detecting anomalous ADS-B messages
2018 · Edan Habler, Asaf Shabtai · Computers & Security · 141
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Traffic alert and collision avoidance system
2013 · David Wyatt, Mike Tooley · Routledge eBooks · 139
Machine Learning Aided Air Traffic Flow Analysis Based on Aviation Big Data
2020 · Guan Gui, Ziqi Zhou, et al. · IEEE Transactions on Vehicular Technology · 133
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Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training
2023 · Xue Fu, Yang Peng, et al. · IEEE Internet of Things Journal · 127
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Flight formation of UAVs in presence of moving obstacles using fast-dynamic mixed integer linear programming
2015 · Mohammadreza Radmanesh, Manish Kumar · Aerospace Science and Technology · 117
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Development of Intent Information Changes to Revised Minimum Aviation System Performance Standards for Automatic Dependent Surveillance Broadcast (RTCA/DO-242A)
2002 · Richard Barhydt, Anthony Warren · NASA Technical Reports Server (NASA) · 113
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Global aviation contrail climate effects from 2019 to 2021
2024 · Roger Teoh, Zebediah Engberg, et al. · Atmospheric chemistry and physics · 102
Grey wolf optimization based sense and avoid algorithm in a Bayesian framework for multiple UAV path planning in an uncertain environment
2018 · Mohammadreza Radmanesh, Manish Kumar, et al. · Aerospace Science and Technology · 97
Zero-Bias Deep Learning for Accurate Identification of Internet-of-Things (IoT) Devices
2020 · Yongxin Liu, Jian Wang, et al. · IEEE Internet of Things Journal · 96
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Class-Incremental Learning for Wireless Device Identification in IoT
2021 · Yongxin Liu, Jian Wang, et al. · IEEE Internet of Things Journal · 95
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Security Issues in Automatic Dependent Surveillance - Broadcast (ADS-B): A Survey
2020 · Zhijun Wu, Tong Shang, et al. · IEEE Access · 94
A Practical and Compatible Cryptographic Solution to ADS-B Security
2018 · Haomiao Yang, Qixian Zhou, et al. · IEEE Internet of Things Journal · 93
Works count: 3,573
Citation count: 19,880
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