output
20212026
most citedA Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management

22 citations

9 papers

cs.CR2026

Detecting Cryptographically Relevant Software Packages with Collaborative LLMs

Eduard Hirsch, Kristina Raab, Tobias J. Bauer +1

IT systems are facing an increasing number of security threats, including advanced persistent attacks and future quantum-computing vulnerabilities. The move towards crypto-agility…

cs.CR2026★ 1 cited

Architecture-Derived CBOMs for Cryptographic Migration: A Security-Aware Architecture Tradeoff Method

Eduard Hirsch, Kristina Raab

Cryptographic migration driven by algorithm deprecation, regulatory change, and post-quantum readiness requires more than an inventory of cryptographic assets. Existing Cryptograph…

cs.LG2025★ 1 cited

Robustness Evaluation of Machine Learning Models for Fault Classification and Localization In Power System Protection

Julian Oelhaf, Mehran Pashaei, Georg Kordowich +4

The growing penetration of renewable and distributed generation is transforming power systems and challenging conventional protection schemes that rely on fixed settings and local…

cs.LG2025★ 22 cited

A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management

Julian Oelhaf, Georg Kordowich, Mehran Pashaei +4

The integration of renewable and distributed energy resources reshapes modern power systems, challenging conventional protection schemes. This scoping review synthesizes recent lit…

cs.CR2024★ 2 cited

A Secure and Privacy-Friendly Logging Scheme

Andreas Aßmuth, Robert Duncan, Simon Liebl +1

Finding a robust security mechanism for audit trail logging has long been a poorly satisfied goal. There are many reasons for this. The most significant of these is that the audit…

cs.DC2024★ 1 cited

Managing Forensic Recovery in the Cloud

George R. S. Weir, Andreas Aßmuth, Nicholas Jäger

As organisations move away from locally hosted computer services toward Cloud platforms, there is a corresponding need to ensure the forensic integrity of such instances. The prima…

cs.CR2024★ 6 cited

Strategies for Intrusion Monitoring in Cloud Services

George R. S. Weir, Andreas Aßmuth

Effective activity and event monitoring is an essential aspect of digital forensic readiness. Techniques for capturing log and other event data are familiar from conventional netwo…

eess.IV2021★ 1 cited

MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks

Jonas Denck, Jens Guehring, Andreas Maier +1

Purpose A Magnetic Resonance Imaging (MRI) exam typically consists of several sequences that yield different image contrasts. Each sequence is parameterized through multiple acquis…

eess.IV2021

Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks

Jonas Denck, Jens Guehring, Andreas Maier +1

A Magnetic Resonance Imaging (MRI) exam typically consists of the acquisition of multiple MR pulse sequences, which are required for a reliable diagnosis. Each sequence can be para…