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2020 – today
- 2024
[j6]Dennis Wolf, Thomas Göbel, Harald Baier:
Hypervisor-based data synthesis: On its potential to tackle the curse of client-side agent remnants in forensic image generation. Forensic Sci. Int. Digit. Investig. 48: 301690 (2024)- [j5]Markus Demmel
, Thomas Göbel, Patrik Gonçalves, Harald Baier:
Data Synthesis Is Going Mobile - On Community-Driven Dataset Generation for Android Devices. DTRAP 5(3): 30:1-30:19 (2024) - [c10]Thomas Göbel, Harald Baier, Dennis Wolf:
Scenario-based Data Set Generation for Use in Digital Forensics: A Case Study. INFORMATIK 2024: 355-370 - [c9]Thomas Göbel, Harald Baier, Jan Türr:
Generating Usable and Assessable Datasets Containing Anti-Forensic Traces at the Filesystem Level. IFIP Int. Conf. Digital Forensics 2024: 225-246 - 2023
- [j4]Thomas Göbel, Harald Baier, Frank Breitinger:
Data for Digital Forensics: Why a Discussion on "How Realistic is Synthetic Data" is Dispensable. DTRAP 4(3): 38:1-38:18 (2023) - [c8]Leon Twenning, Harald Baier, Thomas Göbel:
Using Perceptual Hashing for Targeted Content Scanning. IFIP Int. Conf. Digital Forensics 2023: 125-142 - 2022
- [j3]Thomas Göbel, Stephan Maltan, Jan Türr, Harald Baier, Florian Mann:
ForTrace - A holistic forensic data set synthesis framework. Digit. Investig. 40(Supplement): 301344 (2022) - [j2]Thomas Göbel, Frieder Uhlig, Harald Baier, Frank Breitinger:
FRASHER - A framework for automated evaluation of similarity hashing. Digit. Investig. 42(Supplement): 301407 (2022) - [c7]Martin Lukner, Thomas Göbel, Harald Baier:
Realistic and Configurable Synthesis of Malware Traces in Windows Systems. IFIP Int. Conf. Digital Forensics 2022: 21-44 - 2021
- [c6]Thomas Göbel, Frieder Uhlig, Harald Baier:
Find My IoT Device - An Efficient and Effective Approximate Matching Algorithm to Identify IoT Traffic Flows. ICDF2C 2021: 72-92 - [c5]Thomas Göbel, Frieder Uhlig, Harald Baier:
Evaluation of Network Traffic Analysis Using Approximate Matching Algorithms. IFIP Int. Conf. Digital Forensics 2021: 89-108 - 2020
- [c4]Thomas Göbel, Thomas Schäfer, Julien Hachenberger, Jan Türr, Harald Baier:
A Novel Approach for Generating Synthetic Datasets for Digital Forensics. IFIP Int. Conf. Digital Forensics 2020: 73-93
2010 – 2019
- 2019
- [c3]Thomas Göbel, Jan Türr, Harald Baier:
Revisiting Data Hiding Techniques for Apple File System. ARES 2019: 41:1-41:10 - 2018
- [j1]Thomas Göbel, Harald Baier:
Anti-forensics in ext4: On secrecy and usability of timestamp-based data hiding. Digit. Investig. 24 Supplement: S111-S120 (2018) - [c2]Thomas Göbel, Harald Baier:
fishy - A Framework for Implementing Filesystem-Based Data Hiding Techniques. ICDF2C 2018: 23-42 - [c1]Thomas Göbel, Harald Baier:
Anti-Forensic Capacity and Detection Rating of Hidden Data in the Ext4 Filesystem. IFIP Int. Conf. Digital Forensics 2018: 87-110
Coauthor Index
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