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🏛️ University College Dublin • School of Computer Science

Pioneering AI for Cyber Security, Digital Forensics & Smart Systems

The UCD ASEADOS Lab investigates advanced artificial intelligence methodologies to address emerging threats in software-defined cybersecurity, multi-modal digital evidence, generative AI provenance, and resilient IoT cyber-physical systems.

180+
Peer-Reviewed Papers
€1M+
Grant Funding Secured
Top 2%
Global Scientists List
EU & SFI
Key Research Partners

Core Research Thrusts

Our lab focuses on four interconnected research pillars combining adversarial AI, distributed forensics, and secure cyber-physical architectures.

🛡️

AI for Cyber Security

Autonomous anomaly detection, Software-Defined Network (SDN) defense, zero-day threat intelligence, and adversarial attack mitigation on deep learning models in high-throughput enterprise architectures.

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🔍

Digital Forensics & XAI

Explainable AI for forensic attribution, cryptocurrency fraud analytics (FraudLens), forensic readiness for heterogeneous IoT ecosystems, and cross-border blockchain intelligence.

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🎭

Deepfake Defense & GenAI

Multi-bit watermarking for diffusion models (DiffMark), test-time adaptation for multi-modal deepfake detection (FreDA), and robust provenance attribution for synthetic generative media.

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🌐

IoT & Smart Systems

Side-channel electromagnetic analysis (EM-SCA), UAV communication security, secure cyber-physical systems (CPS), and telemetry defense for critical medical and agricultural infrastructure.

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Public Research Datasets & Open-Source Tools

Freely accessible, validated research artifacts supporting reproducible academic research worldwide.

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Network Security

ASEADOS-SDN-IoT Dataset

Novel SDN-IoT network intrusion detection dataset generated from hybrid testbed integrating physical IoT devices with control-plane telemetry.

Download Dataset →
Hardware Security

EM-SCA Dataset & Suite

Electromagnetic Side-Channel Analysis dataset and framework for non-invasive device classification and forensic investigation.

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Crypto Forensics

FraudLens Platform

AI-assisted investigative platform aiding law enforcement and forensic practitioners in end-to-end investigation of cryptocurrency crime.

Explore Platform →

Latest Lab News & Achievements

Recent conference acceptances, funding awards, and milestones from our team.

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July 2026 • ICML 2026

43rd International Conference on Machine Learning research on advanced representations.

September 2026 • ICDF2C-2026

Training-free test-time adaptation for deepfake detection via non-parametric cache retrieval.

May 2026 • EuroHPC Award

Supercomputing resources granted to pioneer generative AI integrity and watermarking.

Collaborate With Our Lab

We actively partner with academic institutions, industry innovators, and law enforcement agencies across Europe and globally. We also welcome talented prospective PhD researchers.