3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Does Johnny Get the Message? Evaluating Cybersecurity Notifications for Everyday Users
Victor Jüttner, Erik Buchmann
Due to the increasing presence of networked devices in everyday life, not only cybersecurity specialists but also end users benefit from security applications such as firewalls, vu…