most citedTowards Supporting Penetration Testing Education with Large Language Models: an Evaluation and Comparison

6 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models

Ariel Duschanek-Myers, Thomas Welsh, Helmut Neukirchen

Wi-Fi signal data can be used to compromise the privacy of individuals. While many existing approaches rely on Channel State Information (CSI), collecting this data on typical IoT…

cs.CR2026

Human Factors in Cybersecurity in Icelandic Small and Medium-sized Enterprises

Goda Cicėnaitė, Thomas Welsh, Helmut Neukirchen

Cybersecurity threats are increasing in all aspects of society due to the integration of digital systems into modern-day life and a volatile geo-political landscape. Technical fact…

cs.CR2025★ 1 cited

SBASH: a Framework for Designing and Evaluating RAG vs. Prompt-Tuned LLM Honeypots

Adetayo Adebimpe, Helmut Neukirchen, Thomas Welsh

Honeypots are decoy systems used for gathering valuable threat intelligence or diverting attackers away from production systems. Maximising attacker engagement is essential to thei…

cs.SE2025★ 1 cited

Towards Socio-Technical Topology-Aware Adaptive Threat Detection in Software Supply Chains

Thomas Welsh, Kristófer Finnsson, Brynjólfur Stefánsson +1

Software supply chains (SSCs) are complex systems composed of dynamic, heterogeneous technical and social components which collectively achieve the production and maintenance of so…

cs.CR2025★ 1 cited

Understanding Trust in Authentication Methods for Icelandic Digital Public Services

Brynjólfur Stefánsson, Ásta Guðrún Helgadóttir, Martin Nizon-Deladoeuille +2

Digital public services have revolutionised citizen and private sector interactions with governments. Certain communities are strongly dependent on such digital services for ensuri…

cs.CR2025★ 6 cited

Towards Supporting Penetration Testing Education with Large Language Models: an Evaluation and Comparison

Martin Nizon-Deladoeuille, Brynjólfur Stefánsson, Helmut Neukirchen +1

Cybersecurity education is challenging and it is helpful for educators to understand Large Language Models' (LLMs') capabilities for supporting education. This study evaluates the…