Asanka has a paper about “Electromagnetic Side-Channel Analysis for IoT Forensics: Challenges, Framework, and Datasets” published in IEEE Access Vol.9 2021, a EM-SCA dataset is also available for downloading
Aditya and Mahmoud got papers accepted in ARES 2021: The 16th International Conference on Availability, Reliability and Security
Aditya got a paper accepted in the Annual Privacy Forum (APF) 2021 and publication with Springer LNCS.
The paper proposes a new metric, named the privacy score, to assess the privacy level of synthetic data.
Anca and Mahmoud published a paper in IEEE Security & Privacy Vol.19(1) 2021
In this work, they are studying the effect of Covid-19 pandemic on the cyber-attacks.
Asanka has a paper published in IEEE Access Vol.9 2021
In this work, he shows the potential of extracting information of forensic value from smartphones through their EM radiation. This work is supported by EU CERBERUS project
Vacancies
Our lab is looking for motivated candidates for PhD scholarships in Cyber security, Software Architectures and Software Developers. Call for PhD positions: Applications are invited for a PhD scholarship in Cybersecurity (AI for cybersecurity and cybersecurity for AI) in the School of Computer Sciences, University College Dublin (UCD), Ireland.The successful applicants will work under the...
Aditya published a paper about the Casual Inference for Cyber Security in ACSAC conference
In this work, he proposes a causal inference based approach to understand the influence of security control on patching behaviour in the organisations. https://www.acsac.org/2020/program/papers/
Hung Ngo published the OAK model
This model is published in Springer LNCS Vol. 12466. It's a knowledge representation model, called an ontology-based knowledge map, which can collect knowledge from different sources, store it, and exploit either directly by stakeholders or as an input to the knowledge discovery process (Data Mining). https://doi.org/10.1007/978-3-030-63924-2_14
InSDN Datasets published
There are no publicly available datasets that can be used directly for anomaly detection systems applied in SDN networks. The majority of the published studies use non-compatible and outdated datasets, such as the KDD’99 dataset. InSDN is an attack-specific SDN dataset and it is publicly available to the researchers. To the best of our knowledge, our work is one of the first solutions to...