UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions

M Adil, H Song, MA Jan, MK Khan, X He… - ACM Computing …, 2024 - dl.acm.org
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuates the foreknowledge of innovative technologies. With the …

Secure MPC-based path following for UAS in adverse network environment

Z Feng, G Cao, KM Grigoriadis… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article considers the path-following problem for an unmanned aerial system (UAS), in
which an online remote control station computes and sends control input signals to the …

[HTML][HTML] SSRL-UAVs: A Self-Supervised Deep Representation Learning Approach for GPS Spoofing Attack Detection in Small Unmanned Aerial Vehicles

A Alanazi - Drones, 2024 - mdpi.com
Self-Supervised Representation Learning (SSRL) has become a potent strategy for
addressing the growing threat of Global Positioning System (GPS) spoofing to small …

Blockchain-based secure Unmanned Aerial Vehicles (UAV) in network design and optimization

S Hafeez - 2024 - theses.gla.ac.uk
Unmanned Aerial Vehicles (UAVs) have emerged as transformative technologies with wide
ranging applications, including surveillance, mapping, remote sensing, search and rescue …

Cyberthreats and Security Measures in Drone-Assisted Agriculture

KA Tychola, K Rantos - Electronics, 2025 - mdpi.com
Nowadays, the use of Unmanned Aerial Vehicles (UAVs), or drones in agriculture for crop
assessment and monitoring is a timely and important issue that concerns both researchers …

A Review on Machine Learning and Deep Learning Methods to Fortify Cyberspace

NJ Babu, J Bhargav, V Mounica… - 2022 1st International …, 2022 - ieeexplore.ieee.org
Things that have garnered and sparked a great deal of academic attention in the previous
decade are Machine learning (ML) and Deep learning (DL). In most people's daily lives …