6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CR2026
Few-Shot Learning for Network Intrusion Detection: Methods, Datasets, and Performance
Arne Roszeitis, Victor Jüttner, Erik Buchmann
Anomaly-based network intrusion detection systems (NIDS) are an important first line of defense. However, training NIDS for new attack types is challenging, because labeled attack…
cs.CR2026
Simulating the Resident: Generating Executable Smart Home Schedules via LLM Personas
Victor Jüttner, Xenia Wagner, Christoph Jahn +1
Smart homes have emerged as an important domain for HCI research, including work on usable security and privacy. Ideally, studies in these areas draw on datasets collected in real…
cs.CR2023★ 6 cited
ChatIDS: Advancing Explainable Cybersecurity Using Generative AI
Victor Jüttner, Martin Grimmer, Erik Buchmann
Intrusion Detection Systems (IDS) are a proven approach to secure networks. Network-based IDS are typically installed on routers or Internet gateways. This allows them to inspect a…