Publikationen

Wissenschaftliche Publikationen

Daniel Bub, Laura Hartmann, Zdravko Bozakov, Steffen Wendzel: Towards Passive Identification of Aged Android Devices in the Home Network, EICC 2022, in press.
https://doi.org/10.1145/3528580.3528584

Laura Hartmann, Steffen Wendzel: Detection of Anomalous Values within TIA Project Data History for Industrial Control Systems, EICC 2021 - Doctoral Symposium.
https://doi.org/10.1145/3487405.3487662

Laura Hartmann, Steffen Wendzel: How Feasible are Steganographic and Stealth Attacks on TIA Project Metadata of ICS: A Case Study with Real-world Data, EICC 2021 - DETONATOR workshop.
https://doi.org/10.1145/3487405.3487661

Laura Hartmann, Sebastian Zillien, Steffen Wendzel: Reset- and Reconnection-based Covert Channels in CoAP, EICC 2021 - DETONATOR workshop.
https://doi.org/10.1145/3487405.3487660

Steffen Wendzel, Luca Caviglione, Wojciech Mazurczyk, Aleksandra Mileva, Jana Dittmann, Christian Krätzer, Kevin Lämshöft, Claus Vielhauer, Laura Hartmann, Jörg Keller, Tom Neubert: A Revised Taxonomy of Steganography Embedding Patterns, CUING 2021.
https://doi.org/10.1145/3465481.3470069

Aleksandra Mileva, Aleksandar Velinov, Laura Hartmann, Steffen Wendzel, Wojciech Mazurczyk: Comprehensive Analysis of MQTT 5.0 Susceptibility to Network Covert Channels, Computers & Security, 102207, ISSN 0167-4048, 2021.
https://doi.org/10.1016/j.cose.2021.102207

Jörg Keller, Steffen Wendzel: Reversible and Plausibly Deniable Covert Channels in One-Time Passwords Based on Hash Chains, Applied Sciences, Vol. 11(2), MDPI, 2021.
https://doi.org/10.3390/app11020731

Laura Hartmann, Steffen Wendzel: Technical Report in conjunction with EICC 2020: Anomaly detection in ICS based on data-history analysis, TechnicalReport HSW-TR-H00003, University of Applied Sciences Worms, 2020.
https://aspi05.exl.de/repository/DOC000001/B00148480.pdf

Laura Hartmann, Steffen Wendzel: Anomaly Detection in ICS based on Data-history Analysis, in Proc. European Interdisciplinary Cybersecurity Conference (EICC 2020), ACM, 2020.
https://doi.org/10.1145/3424954.3424963