203 citations · 335 across the 16 of their papers we have counts for
5 papers · 1 filter
StealthCup: Realistic, Multi-Stage, Evasion-Focused CTF for Benchmarking IDS
Manuel Kern, Dominik Steffan, Felix Schuster +5
Intrusion Detection Systems (IDS) are critical to defending enterprise and industrial control environments, yet evaluating their effectiveness under realistic conditions remains an…
System Log Parsing with Large Language Models: A Review
Viktor Beck, Max Landauer, Markus Wurzenberger +2
Log data provides crucial insights for tasks like monitoring, root cause analysis, and anomaly detection. Due to the vast volume of logs, automated log parsing is essential to tran…
DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection
Lam Pham, Dat Tran, Phat Lam +5
In this paper, we propose a deep neural network approach for deepfake speech detection (DSD) based on a lowcomplexity Depthwise-Inception Network (DIN) trained with a contrastive t…
Trace of the Times: Rootkit Detection through Temporal Anomalies in Kernel Activity
Max Landauer, Leonhard Alton, Martina Lindorfer +3
Kernel rootkits provide adversaries with permanent high-privileged access to compromised systems and are often a key element of sophisticated attack chains. At the same time, they…
Towards Improving IDS Using CTF Events
Manuel Kern, Florian Skopik, Max Landauer +1
In cybersecurity, Intrusion Detection Systems (IDS) serve as a vital defensive layer against adversarial threats. Accurate benchmarking is critical to evaluate and improve IDS effe…