output
20022026
most citedChallenges and Opportunities in Securing the Industrial Internet of Things

361 citations

67 papers

cs.CR2026

Evaluation of Security-Induced Latency on 5G RAN Interfaces and User Plane Communication

Sotiris Michaelides, Jakub Lapawa, Daniel Eguiguren Chavez +1

5G promises enhanced performance-not only in bandwidth and capacity, but also latency and security. Its ultra-reliable low-latency configuration targets round-trip times below 1 ms…

cs.HC2025★ 1 cited

An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence

Jonas D. Rockbach, Sven Fuchs, Maren Bennewitz

Due to the progress in artificial intelligence, it is important to understand how capable artificial agents should be used when interacting with humans, since high level authority…

cs.CR2025★ 1 cited

MAC Aggregation over Lossy Channels in DTLS 1.3

Eric Wagner, David Heye, Jan Bauer +2

Aggregating Message Authentication Codes (MACs) promises to save valuable bandwidth in resource-constrained environments. The idea is simple: Instead of appending an authentication…

cs.CV2025★ 1 cited

Offline Auto Labeling: BAAS

Stefan Haag, Bharanidhar Duraisamy, Felix Govaers +3

This paper introduces BAAS, a new Extended Object Tracking (EOT) and fusion-based label annotation framework for radar detections in autonomous driving. Our framework utilizes Baye…

cs.NI2025★ 2 cited

Assessing the Latency of Network Layer Security in 5G Networks

Sotiris Michaelides, Jonathan Mucke, Martin Henze

In contrast to its predecessors, 5G supports a wide range of commercial, industrial, and critical infrastructure scenarios. One key feature of 5G, ultra-reliable low latency commun…

cs.CR2025

How Reliable Are FOSS Popularity Metrics? Analyzing the Effort Required for Spoofing Common Software Popularity Metrics

Ben Swierzy, Timo Pohl, Marc Ohm +1

Quantitative metrics derived from software repositories and package ecosystems are widely used to assess the impact, popularity, maintenance, and criticality of free and open sourc…

cs.CR2025★ 5 cited

Sherlock: A Dataset for Process-aware Intrusion Detection Research on Power Grid Networks

Eric Wagner, Lennart Bader, Konrad Wolsing +1

Physically distributed components and legacy protocols make the protection of power grids against increasing cyberattack threats challenging. Infamously, the 2015 and 2016 blackout…

cs.SE2025

SoK: Towards Reproducibility for Software Packages in Scripting Language Ecosystems

Timo Pohl, Pavel Novák, Marc Ohm +1

The disconnect between distributed software artifacts and their supposed source code enables attackers to leverage the build process for inserting malicious functionality. Past res…

cs.CR2024★ 7 cited

A cyber-physical digital twin approach to replicating realistic multi-stage cyberattacks on smart grids

Omer Sen, Nathalie Bleser, Martin Henze +1

The integration of information and communication technology in distribution grids presents opportunities for active grid operation management, but also increases the need for secur…

cs.CR2024

Seldom: An Anonymity Network with Selective Deanonymization

Eric Wagner, Roman Matzutt, Martin Henze

While anonymity networks such as Tor provide invaluable privacy guarantees to society, they also enable all kinds of criminal activities. Consequently, many blameless citizens shy…

cs.NI2024★ 6 cited

Unconsidered Installations: Discovering IoT Deployments in the IPv6 Internet

Markus Dahlmanns, Felix Heidenreich, Johannes Lohmöller +3

Internet-wide studies provide extremely valuable insight into how operators manage their Internet of Things (IoT) deployments in reality and often reveal grievances, e.g., signific…

cs.CR2024★ 7 cited

Introducing a Comprehensive, Continuous, and Collaborative Survey of Intrusion Detection Datasets

Philipp Bönninghausen, Rafael Uetz, Martin Henze

Researchers in the highly active field of intrusion detection largely rely on public datasets for their experimental evaluations. However, the large number of existing datasets, th…

quant-ph2024★ 3 cited

Wigner's Theorem for stabilizer states and quantum designs

Valentin Obst, Arne Heimendahl, Tanmay Singal +1

We describe the symmetry group of the stabilizer polytope for any number of systems and any prime local dimension . In the qubit case, the symmetry group coincides with the…

cs.CR2024★ 1 cited

Mens Sana In Corpore Sano: Sound Firmware Corpora for Vulnerability Research

René Helmke, Elmar Padilla, Nils Aschenbruck

Firmware corpora for vulnerability research should be scientifically sound. Yet, several practical challenges complicate the creation of sound corpora: Sample acquisition, e.g., is…

cs.HC2024★ 4 cited

Designing for Human Operations on the Moon: Challenges and Opportunities of Navigational HUD Interfaces

Leonie Bensch, Tommy Nilsson, Jan Wulkop +8

Future crewed missions to the Moon will face significant environmental and operational challenges, posing risks to the safety and performance of astronauts navigating its inhospita…

cs.CR2024★ 20 cited

An Interdisciplinary Survey on Information Flows in Supply Chains

Jan Pennekamp, Roman Matzutt, Christopher Klinkmüller +12

Supply chains form the backbone of modern economies and therefore require reliable information flows. In practice, however, supply chains face severe technical challenges, especial…

cs.CR2023★ 2 cited

An Approach to Abstract Multi-stage Cyberattack Data Generation for ML-Based IDS in Smart Grids

Ömer Sen, Philipp Malskorn, Simon Glomb +3

Power grids are becoming more digitized, resulting in new opportunities for the grid operation but also new challenges, such as new threats from the cyber-domain. To address these…

cs.CR2023★ 2 cited

Investigation of Multi-stage Attack and Defense Simulation for Data Synthesis

Ömer Sen, Bozhidar Ivanov, Martin Henze +1

The power grid is a critical infrastructure that plays a vital role in modern society. Its availability is of utmost importance, as a loss can endanger human lives. However, with t…

cs.CR2023★ 4 cited

Madtls: Fine-grained Middlebox-aware End-to-end Security for Industrial Communication

Eric Wagner, David Heye, Martin Serror +3

Industrial control systems increasingly rely on middlebox functionality such as intrusion detection or in-network processing. However, traditional end-to-end security protocols int…

cs.CR2023★ 6 cited

SoK: Evaluations in Industrial Intrusion Detection Research

Olav Lamberts, Konrad Wolsing, Eric Wagner +4

Industrial systems are increasingly threatened by cyberattacks with potentially disastrous consequences. To counter such attacks, industrial intrusion detection systems strive to t…

eess.AS2023★ 18 cited

Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?

Kevin Wilkinghoff, Frank Kurth

State-of-the-art anomalous sound detection systems often utilize angular margin losses to learn suitable representations of acoustic data using an auxiliary task, which usually is…

cs.LG2023★ 3 cited

Learning IMM Filter Parameters from Measurements using Gradient Descent

André Brandenburger, Folker Hoffmann, Alexander Charlish

The performance of data fusion and tracking algorithms often depends on parameters that not only describe the sensor system, but can also be task-specific. While for the sensor sys…

cs.CR2023★ 19 cited

Comprehensively Analyzing the Impact of Cyberattacks on Power Grids

Lennart Bader, Martin Serror, Olav Lamberts +6

The increasing digitalization of power grids and especially the shift towards IP-based communication drastically increase the susceptibility to cyberattacks, potentially leading to…

cs.RO2022★ 2 cited

Co-Training an Observer and an Evading Target

André Brandenburger, Folker Hoffmann, Alexander Charlish

Reinforcement learning (RL) is already widely applied to applications such as robotics, but it is only sparsely used in sensor management. In this paper, we apply the popular Proxi…