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.
NSS 2027 & SocialSec 2027
The IoT ASEADOS Lab is proud to host the 21st International Conference on Network and System Security (NSS 2027) and the 11th International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec 2027) at University College Dublin.
Core Research Areas
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.
View Projects →Digital Forensics & XAI
Explainable AI for forensic attribution, cryptocurrency fraud analytics (FraudLens), forensic readiness for heterogeneous IoT ecosystems, and cross-border blockchain intelligence.
View Projects →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.
View Projects →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.
View Projects →Public Research Datasets & Open-Source Tools
Freely accessible, validated research artifacts supporting reproducible academic research worldwide.
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 →EM-SCA Dataset & Suite
Electromagnetic Side-Channel Analysis dataset and framework for non-invasive device classification and forensic investigation.
Download Dataset →FraudLens Platform
AI-assisted investigative platform aiding law enforcement and forensic practitioners in end-to-end investigation of cryptocurrency crime.
Explore Platform →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.