A secure and efficient UAV network defense strategy: Convergence of blockchain and deep learning

Li, Zhihao; Chen, Qi; Li, Jin; Huang, Jiahui; Mo, Weichuan; Wong, Duncan S.; Jiang, Hai

doi:10.1016/j.csi.2024.103844

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2024

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Cited by 3 publications

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DTPBFT:A dynamic and highly trusted blockchain consensus algorithm for UAV swarm

Han,

Wu,

Sui

2024

Computer Networks

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DTPBFT:A dynamic and highly trusted blockchain consensus algorithm for UAV swarm

Han,

Wu,

Sui

2024

Computer Networks

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A Machine Vision Approach to Real-Time Drone Detection Using Gray Level Co-occurrence Matrix and Interactive GUI

Hussen,

Salem,

El-Desouky

et al. 2024

2024 International Telecommunications Conference (ITC-Egypt)

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

Hussein,

Ben Ayed

2024

AI and IoT for Proactive Disaster Management

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

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A secure and efficient UAV network defense strategy: Convergence of blockchain and deep learning

Cited by 3 publications

References 22 publications

DTPBFT:A dynamic and highly trusted blockchain consensus algorithm for UAV swarm

DTPBFT:A dynamic and highly trusted blockchain consensus algorithm for UAV swarm

A Machine Vision Approach to Real-Time Drone Detection Using Gray Level Co-occurrence Matrix and Interactive GUI

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

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