Secure UAV Traffic Management

UTM aims to integrate autonomous and human operated UAVs into the airspace while maintaining safety and security for all stakeholders. These systems are the integral infrastructure that will enable the widespread adoption of UAV in civil environments.

Our Research Focus

Developing secure and scalable solutions for managing unmanned aerial vehicle traffic in complex environments.

Security Protocols

Developing and testing robust security protocols for UAV communications and control systems.

XR Integration for UTM systems

Developing innovative methods wtih eXtended Reality (XR) to enhance how UAVs can be observed and managed.

Infrastructure as Code for UTM Development

Creating resilient distributed systems for managing UAV traffic across wide geographical areas.

Human-AI Collab

Implementing collaborative AI systems that improve human methods in monitoring multiple UAVs in shared airspace.

Recent Publications

Our latest research contributions to the field of secure UAV traffic management.

Secure Authentication for Remote Drone Identification Using ASTM Standards

A. Hashmi, K. Belwafi, A. Ahmed, and A. Shoufan (2025)

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Real-Time Mobile Crowd Sensing Model for Remote Detection of Flying UAVs

A. Ahmed, R. Alkadi, K. Belwafi, M. Atrouz and A. Shoufan (2025)

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Hardware/Software Implementation of a Chip-to-Chip Communication Protocol Based on SPDM

K. Belwafi, A. Shoufan, M. Alsafi, A. Ahmed and K. Han (2024)

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Join Us in Our Research

Connect with our team of researchers and explore opportunities for collaboration.