Research Projects
Exploring innovative approaches to secure and efficient unmanned aerial vehicle traffic management.
A System for Wide-Area Monitoring and Surveillance of Unmanned Aerial Vehicles in Urban Airspace
Abstract
This project develops an integrated XR-enhanced surveillance system that leverages extended reality technologies to revolutionize UAV monitoring and management capabilities. Our research focuses on creating immersive interfaces that provide Law Enforcement Officers (LEOs) with real-time situational awareness of drone ecosystems in their vicinity.
The system integrates advanced AI algorithms for real-time UAV tracking, anomaly detection, and behavioral analysis with distributed computing architectures to ensure scalable and fault-tolerant operations across wide geographical areas. By combining machine learning approaches with XR visualization, we create an intelligent surveillance platform that enhances decision-making capabilities for critical UTM operations.
Our approach utilizes federated learning for privacy-preserving coordination, computer vision for obstacle and threat detection, and explainable AI to ensure transparent and accountable automated decisions in security-critical scenarios.
Zero trust-based, secure, resilient, and autonomous system for drone-UTM interactions (ZT-UTM)
Abstract
This project develops a comprehensive zero-trust security framework for unmanned aerial vehicle traffic management systems, addressing the critical need for robust authentication, authorization, and communication security in distributed UAV networks. Our research focuses on creating lightweight cryptographic primitives specifically tailored to the resource constraints and operational requirements of aerial vehicles.
The system architecture incorporates distributed ledger technologies for transparent and tamper-resistant airspace management, coupled with edge computing infrastructures that minimize latency for time-critical security decisions. We investigate novel consensus algorithms for decentralized airspace allocation and develop fault-tolerant protocols that maintain operational integrity even under network partitions or adversarial conditions.
Key innovations include secure handover mechanisms for cross-domain UAV operations, lightweight authentication protocols for UAV swarms, and comprehensive threat modeling frameworks for next-generation aerial communication networks.
Advanced System-on-Chip for Secure UAV Operation
Abstract
This project focuses on developing next-generation System-on-Chip (SoC) architectures specifically designed for secure and efficient UAV operations. Our research addresses the growing need for specialized hardware that can handle the computational demands of modern UTM systems while maintaining strict security and power efficiency requirements.
The project investigates hardware-based security features including secure boot mechanisms, hardware security modules (HSMs), and cryptographic accelerators optimized for UAV applications. We develop novel chip architectures that integrate AI processing units with security coprocessors to enable real-time threat detection and response at the hardware level.
Our approach combines advanced semiconductor design with embedded security protocols, creating a foundation for trustworthy autonomous UAV systems that can operate safely in contested environments while maintaining optimal performance and energy efficiency.
Data Deletion as a Service
Abstract
Interested in Collaborating?
We're always looking for research partners and collaborators who share our vision for secure and efficient UAV traffic management.