3 citations · 9 across the 10 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
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.CR2026
Cybersecurity Guidance for Smart Homes: A Cross-National Review of Government Sources
Victor Jüttner, Erik Buchmann
Smart homes are increasingly targeted by cyberattacks, yet residents often lack guidance when incidents occur. Since affected residents are likely to seek help from trustworthy sou…