An Open, Real-World Dataset of Cellular UAV Communication Properties

Martínez, Gonzalo J.; Dubrovskiy, Grigoriy; Zhu, Shangyue; Mohammed, Alamin; Lin, Hai; Laneman, J. Nicholas; Striegel, Aaron; Pragada, Ravikumar; Castor, Douglas

doi:10.1109/icccn52240.2021.9522344

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Related UAV studies have concluded that users have a specific control pattern according to their flight altitude, which occurs in repeated transmissions of specific control messages [43,44]. These patterns may contain unbalanced datasets in the networks of each UAV.…”

Section: Attack Scenario Analysismentioning

confidence: 99%

Multiple Intrusion Detection Using Shapley Additive Explanations and a Heterogeneous Ensemble Model in an Unmanned Aerial Vehicle’s Controller Area Network

Hong,

Yoo

2024

Applied Sciences

View full text Add to dashboard Cite

Recently, methods to detect DoS and spoofing attacks on In-Vehicle Networks via the CAN protocol have been studied using deep learning models, such as CNN, RNN, and LSTM. These studies have produced significant results in the field of In-Vehicle Network attack detection using deep learning models. However, these studies have typically addressed studies on single-model intrusion detection verification in drone networks. This study developed an ensemble model that can detect multiple types of intrusion simultaneously. In preprocessing, the patterns within the payload using the measure of Feature Importance are distinguished from the attack and normal data. As a result, this improved the accuracy of the ensemble model. Through the experiment, both the accuracy score and the F1-score were verified for practical utility through 97% detection performance measurement.

show abstract

Section: Attack Scenario Analysismentioning

confidence: 99%

Multiple Intrusion Detection Using Shapley Additive Explanations and a Heterogeneous Ensemble Model in an Unmanned Aerial Vehicle’s Controller Area Network

Hong,

Yoo

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks

et al. 2023

View full text Add to dashboard Cite

Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed seamless connectivity to the devices/users in infrastructure-less environments, where the traditional terrestrial networks are critically infeasible or uneconomical to be fully deployed. This article comprehensively surveys the advanced computing technologies that support the utilization of SAGINs for infrastructure-less environments. The advanced computing technologies refer to the emerging computing techniques, tools and the processes that can be utilized to support SAGINs in handling the increasing computing tasks. The main contents include: (1) background of SAGINs, (2) typical use cases of SAGINs in infrastructure-less environments, (3) advanced computing technologies to assist SAGINs to meet the requirements of various services in infrastructure-less environments, (4) the related practical initiatives, and (5) the open research challenges and the future research directions.

show abstract

Towards an Annotated All-Weather Dataset of Flight Logs for Small Uncrewed Aerial System

Islam

Chowdhury

Alarcón

et al. 2023

AIAA AVIATION 2023 Forum

View full text Add to dashboard Cite

An Open, Real-World Dataset of Cellular UAV Communication Properties

Cited by 3 publications

References 9 publications

Multiple Intrusion Detection Using Shapley Additive Explanations and a Heterogeneous Ensemble Model in an Unmanned Aerial Vehicle’s Controller Area Network

Multiple Intrusion Detection Using Shapley Additive Explanations and a Heterogeneous Ensemble Model in an Unmanned Aerial Vehicle’s Controller Area Network

A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks

Towards an Annotated All-Weather Dataset of Flight Logs for Small Uncrewed Aerial System

Contact Info

Product

Resources

About