UCD ASEADOS Lab – AI Solution for Cyber Security, Digital Forensics and Smart Systems

Tharindu has a paper, “ASEADOS-SDN-IoT: A Novel SDN-IoT Network Intrusion Detection Dataset and Framework”, has been published in the Elsevier Internet of Things journal (IF: 7.6, Q1), March 2026

Posted on March 12, 2026 by

Excited to share our latest research paper — “ASEADOS-SDN-IoT: A Novel SDN-IoT Network Intrusion Detection Dataset and Framework” — has been accepted for publication in the Internet of Things journal (Elsevier – Q1, IF - 7.6). This work introduces a publicly available SDN-IoT intrusion detection dataset generated from a hybrid testbed integrating physical IoT devices with SDN...

Duc-Anh Secured EU ENFIELD Funding on Multimodal Activity Log and Feature Summarisation

Posted on March 8, 2026 by

We are delighted to announce that Duc-Anh has been awarded a competitive grant from the ENFIELD project, 4th call (funded by Horizon Europe) for the project entitled “Work shift reporting with multimodal activity log and feature summarization” . Well-done, Duc-Anh! EU ENFIELD Funding: European Lighthouse to Manifest Trustworthy and Green AI (ENFIELD), an EU funding...

Hong-Hanh Represented at AAAI-26 in Singapore

Posted on January 24, 2026 by

Hong-Hanh is currently on the ground at the 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26) at the Singapore EXPO!This week (Jan 20–27), Hong-Hanh is representing the lab, sharing our research on "Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection" and connecting with the international AI community.

Quang-Tien has a paper, “Concept drift detection in image data stream: a survey on current literature, limitations and future directions”, has been published in the Springer Artificial Intelligence Review (IF: 14.9, Q1), December 2025

Posted on January 19, 2026 by

We are thrilled to announce that our lab’s latest paper, Concept drift detection in image data stream: a survey on current literature, limitations and future directions”, has been published in the Springer Artificial Intelligence Review (IF: 14.9, Q1). Congratulate Quang-Tien! Well-done! This paper presents the first comprehensive review of concept drift detection methods tailored for image...

Hong-Hanh Secured ENFIELD Funding to Combat Advanced Audio Deepfakes

Posted on March 8, 2026 by

We are delighted to announce that Hong-Hanh has been awarded a competitive grant from the ENFIELD project (funded by Horizon Europe) to advance the state-of-the-art in voice security. The proposal, titled "Generalization of Deepfake Voice Detection across Generator Architectures," has secured €24,000 in funding to address critical challenges in biometric security. Project Overview. As...

Tharindu has a paper, “Evaluating the Robustness of DL-Based AAD in SDN-IoT Networks Against OOD Data and Poisoning Attacks Using Autoencoders”, has been published in the Springer Journal of Network and Systems Management (IF: 3.9, Q1), Dec 2025

Posted on December 2, 2025 by

We are thrilled to announce that our lab’s latest paper, “Evaluating the Robustness of DL-Based AAD in SDN-IoT Networks Against OOD Data and Poisoning Attacks Using Autoencoders,” has been accepted for publication in the Springer Journal of Network and Systems Management (Special Issue: Cyber-Security in Software-defined and Virtualized Infrastructures). Congratulate Tharindu! This work...

Hong-Hanh has a paper, “A Survey on Proactive Deepfake Defense: Disruption and Watermarking”, accepted to publication on ACM Computing Surveys

Posted on November 10, 2025 by

We are thrilled to announce that our lab's latest paper, "A Survey on Proactive Deepfake Defense: Disruption and Watermarking," has been accepted for publication in the prestigious journal ACM Computing Surveys (CSUR). Our Focus: Proactive Defense Our survey provides a comprehensive review of proactive defense mechanisms. These strategies are designed to prevent the generation of malicious...

Tharindu has a paper, “SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks”, accepted to publish in Elsevier Journal of Information Security and Applications (IF: 3.7, Q1), October 2025

Posted on October 15, 2025 by

Paper titled, "SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks," has been officially published in the Journal of Information Security and Applications (JISA - Elsevier | Impact Factor: 3.7 | Q1). Authors - Tharindu Lakshan Yasarathna and Dr. Nhien An Le Khac. More For more details about our work, please...

Tharindu has a paper, “Deep Learning Based Autonomous Anomaly Detection for Security in SDN-IoT Networks”, accepted to publish in IEEE Open Journal of the Communications Society (IF: 6.1, Q1), September 2025

Posted on October 1, 2025 by

The latest research paper, “Deep Learning Based Autonomous Anomaly Detection for Security in SDN-IoT Networks”, has been published in the IEEE Open Journal of the Communications Society (Impact Factor: 6.1, Q1). Authors - Tharindu Lakshan Yasarathna, Dr.Madhusanka Liyanage, and Dr.Nhien An Le Khac.For more details about our work, please visit this link.

Hong-Hanh and Quang-Tien have won two awards in European Statistics Awards with a total of €6,000

Posted on November 10, 2025 by

🏆 FVNWL Team Takes Two Prizes at the European Statistics Awards! 🏆 Hong-Hanh, Quang-Tien, and the team FVNWL, have achieved outstanding results in the European Statistics Awards for the Web Intelligence Classification Challenge! They proudly secured: 2nd Place in the Accuracy Award (€5,000) 3rd Place in the Innovativity Award (€1,000) The Challenge: Making Sense of Job Ads The core...