Cybersecurity Testing in Drones domain: a Systematic Literature Review DOI Creative Commons
Eda Marchetti,

Tauheed Waheed,

Antonello Calabrò

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 171166 - 171184

Published: Jan. 1, 2024

Language: Английский

Deep learning and smart energy-based lightweight urban power load forecasting model for sustainable urban growth DOI Creative Commons
Haewon Byeon, Azzah AlGhamdi, Ismail Keshta

et al.

Frontiers in Sustainable Cities, Journal Year: 2025, Volume and Issue: 6

Published: Jan. 15, 2025

Introduction Urban power load forecasting is essential for smart grid planning but hindered by data imbalance issues. Traditional single-model approaches fail to address this effectively, while multi-model methods mitigate splitting datasets incur high costs and risk losing shared distribution characteristics. Methods A lightweight urban model (DLUPLF) proposed, enhancing LSTM networks with contrastive loss in short-term sampling, a difference compensation mechanism, feature extraction layer reduce costs. The adjusts predictions learning differences employs dynamic class-center regularization. Its performance was evaluated through parameter tuning comparative analysis. Results DLUPLF demonstrated improved accuracy imbalanced reducing computational It preserved characteristics outperformed traditional efficiency prediction accuracy. Discussion effectively addresses complexity challenges, making it promising solution forecasting. Future work will focus on real-time applications broader systems.

Language: Английский

Citations

0
Authentication and Security Challenges for Unmanned Aerial Vehicles: A Survey DOI

Laxmi Chandolia,

Pardeep singh,

Om Pal

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Cybercrimes and Drone Forensic Tool Development DOI

Munirah B. Aljuwair,

Jonghyuk Kim

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 249 - 263

Published: Jan. 1, 2025

Language: Английский

Citations

0
Authentication and security challenges for Unmanned Aerial Vehicles: A survey DOI

Laxmi Chandolia,

Pardeep Singh, Om Pal

et al.

Ad Hoc Networks, Journal Year: 2025, Volume and Issue: unknown, P. 103842 - 103842

Published: April 1, 2025

Language: Английский

Citations

0
Economic Analysis of AI Integration in Internet of Drones (IoD) DOI
Harshit Mishra, S. Dwivedi

Advances in Science, Technology & Innovation/Advances in science, technology & innovation, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 190

Published: Jan. 1, 2025

Language: Английский

Citations

0
Flavors of the Next Generation of Unmanned Aerial Vehicles Networks DOI
Lailla M. S. Bine, Alisson R. Svaigen, Azzedine Boukerche

et al.

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(14), P. 24604 - 24620

Published: April 29, 2024

Language: Английский

Citations

2
Optimizing Unmanned Aerial Vehicle Electronics: Advanced Charging Systems and Data Transmission Solutions DOI Open Access
Vincenzo Barrile, Fabio La Foresta, Emanuela Genovese

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(16), P. 3208 - 3208

Published: Aug. 13, 2024

Interest in Unmanned Aerial Vehicles (UAVs) has been increasingly growing recent years, especially for purposes other than those which they were initially used (civil and military purposes). Currently, fact, are advanced monitoring control purposes, 3D reconstructions of the territory cultural heritage, freight transport. The problem using these systems consists limited flight autonomy. In commercially drones, today, sold with a set batteries duration do not allow flights over large areas and, therefore, detailed surveys. present work seeks to overcome limitations by proposing an intelligent automatic charging system (Intelligent Charging Network) created PC Engines Alix experimental drone prototype Raspberry Pi 3 Navio 2 module. At same time, efficient Intelligent Network–drone communication data transmission proposed, images acquired be transferred directly server storage their subsequent processing as well plan from QGroundControl application drone. proposed represents technological innovation field drones potential future developments linked implementation sustainable drones.

Language: Английский

Citations

2
Blockchain Technology With the Internet of Drones (IOD) to Address Privacy and Security Issues in Disaster Management DOI

Naser Abbas Hussein,

Hella Kaffel Ben Ayed

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 204 - 229

Published: May 6, 2024

The portability and automation of the internet drones (IOD) have drawn increasing attention in recent years, it is being used various fields (such as military, rescue entertainment, disaster management). Unmanned aerial vehicles (UAVs) recently established their capacity to provide cost-effective credible solutions for real-world scenarios. since security privacy are among main concerns IOD, this chapter, authors perform a complete analysis issues IOD security, analyzing IOD-related requirements identifying newest improvement research. This explores many essential technologies emphasizing authentication mechanisms blockchain-powered schemes. Based on rigorous review, discuss faced by current approaches management offer future research areas.

Language: Английский

Citations

0
Cybersecurity Testing in Drones domain: a Systematic Literature Review DOI Creative Commons
Eda Marchetti,

Tauheed Waheed,

Antonello Calabrò

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 171166 - 171184

Published: Jan. 1, 2024

Language: Английский

Citations

0