The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has
brought a unique set of opportunities and challenges to both the civilian and military sectors …

Cyber Security and forensics for Unmanned Aerial Vehicles (UAVs) pose unique
requirements, solutions, and challenges. As UAVs become increasingly prevalent for …

The intelligence and integrity of a real-time cyber–physical system depend on how
trustworthy the data's legitimacy, appropriation, and authorization are during end-to-end …

Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

We present a convolutional neural network (CNN) that identifies drone models in real-life
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …

A new robust and accurate approach for the detection and localization of flying objects with
the purpose of highly dynamic aerial interception and agile multi-robot interaction is …

Unmanned aerial vehicles (UAVs) have emerged as a rapidly growing technology seeing
unprecedented adoption in various application sectors due to their viability and low cost …

Due to the limitations of sensor devices, including short transmission distance and
constrained energy, unmanned aerial vehicles (UAVs) have been recently deployed to …

The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

Drones are becoming a greater threat to modern electrical grids with the capability to cause
expensive and time-consuming damage repairs to substations and transmission lines …