activity
20122026
most citedDeep Learning for Anomaly Detection in Log Data: A Survey

203 citations · 335 across the 16 of their papers we have counts for

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Showing cs.CRShow all

13 papers · 1 filter

cs.CR2026

Just Testing, Move Along: Evasion of LLM-based System Log Interpretation by Prompt Injection

Max Landauer, Florian Skopik, Markus Wurzenberger +2

Large Language Models (LLMs) are increasingly integrated into Security Operations Center (SOC) workflows, where they support analysts in tasks such as the interpretation of system…

cs.CR2026

CAM-LDS: Cyber Attack Manifestations for Automatic Interpretation of System Logs and Security Alerts

Max Landauer, Wolfgang Hotwagner, Thorina Boenke +2

Log data are essential for intrusion detection and forensic investigations. However, manual log analysis is tedious due to high data volumes, heterogeneous event formats, and unstr…

cs.CR2026

Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks

André García Gómez, Ines Rieger, Wolfgang Hotwagner +4

Collaborative Intrusion Detection Systems (CIDS) are increasingly adopted to counter cyberattacks, as their collaborative nature enables them to adapt to diverse scenarios across h…

cs.CR2026

AlertBERT: A noise-robust alert grouping framework for simultaneous cyber attacks

Lukas Karner, Max Landauer, Markus Wurzenberger +1

Automated detection of cyber attacks is a critical capability to counteract the growing volume and sophistication of cyber attacks. However, the high numbers of security alerts iss…

cs.CR2026

AttackMate: Realistic Emulation and Automation of Cyber Attack Scenarios Across the Kill Chain

Max Landauer, Wolfgang Hotwagner, Thorina Boenke +2

Adversary emulation tools facilitate scripting and automated execution of cyber attack chains, thereby reducing costs and manual expert effort required for security testing, cyber…

cs.CR2025

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…

cs.CR2025★ 2 cited

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…

cs.CR2025

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…

cs.CR2024★ 8 cited

Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation

Max Landauer, Klaus Mayer, Florian Skopik +2

Red teams simulate adversaries and conduct sophisticated attacks against defenders without informing them about used tactics in advance. These interactive cyber exercises are highl…

cs.CR2023★ 15 cited

Introducing a New Alert Data Set for Multi-Step Attack Analysis

Max Landauer, Florian Skopik, Markus Wurzenberger

Intrusion detection systems (IDS) reinforce cyber defense by autonomously monitoring various data sources for traces of attacks. However, IDSs are also infamous for frequently rais…

cs.CR2022★ 45 cited

Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

Max Landauer, Florian Skopik, Maximilian Frank +3

Intrusion detection systems (IDS) monitor system logs and network traffic to recognize malicious activities in computer networks. Evaluating and comparing IDSs with respect to thei…

cs.CR2021

Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data

Markus Wurzenberger, Florian Skopik, Roman Fiedler +1

Most of today's security solutions, such as security information and event management (SIEM) and signature based IDS, require the operator to evaluate potential attack vectors and…

cs.CR2012★ 5 cited

Towards a Layered Architectural View for Security Analysis in SCADA Systems

Zhendong Ma, Paul Smith, Florian Skopik

Supervisory Control and Data Acquisition (SCADA) systems support and control the operation of many critical infrastructures that our society depend on, such as power grids. Since S…