2 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…