DFDS 2025 (DFRWS Doctoral Symposium)
The inaugural Digital Forensics Doctoral Symposium, co-located with DFRWS EU 2025: doctoral research on AI-generated forensic code, timestamp tampering, SMB event reconstruction, similarity-digest evasion, GenAI image inpainting detection and forensic knowledge graphs.
→ See editor’s top picks at DFDS 2025 (DFRWS Doctoral Symposium)
- Advancing Event Reconstruction in Network Forensics: Extending and Evaluating SMB Command Fingerprinting — Jan-Niclas Hilgert
In the realm of digital forensics, reconstructing user actions from network traffic presents a significant challenge, especially as file systems and access methods evolve. This talk, presented by…
- AutoDFBench: A Framework for AI Generated Digital Forensic Code and Tool Testing and Evaluation — Akila Wickramasekara
In the rapidly evolving landscape of digital forensics, the sheer volume of digital evidence necessitates increasingly efficient and automated solutions. Akila Wickramasekara, a doctoral researcher…
- Automation for digital forensics: Towards a classification model for the community — Gaëtan Michelet
In the rapidly evolving field of digital forensics (DF), automation has become increasingly crucial for managing the growing volume and complexity of evidence. However, the term "automation" itself…
- Concealing targeted attacks on the TLSH similarity digest scheme — Gábor Fuchs
In the realm of digital forensics and malware analysis, similarity digest schemes, often referred to as fuzzy hashes, play a crucial role in identifying and classifying related files. Unlike…
- Exploring Dataset Diversity for GenAI Image Inpainting Localisation in Digital Forensics — Matthew Thomson
In an era increasingly shaped by synthetic media, the ability to accurately detect and localize manipulations made by Generative Artificial Intelligence (GenAI) has become paramount for digital…
- Fast Synthetic Data Generation for Case-Specific Entity Extraction in Criminal Investigations — Mads Skipanes
In this insightful presentation at DFDS, Mads Skipanes, a doctoral researcher at the National Criminal Investigation Service (Kripos), unveiled a novel approach to addressing a persistent challenge…
- FEAR: A Novel Framework for Representing Digital Forensic Artifacts in Knowledge Graphs — Allan Korol
In the rapidly evolving landscape of digital forensics, investigators are constantly challenged by the sheer volume, heterogeneity, and complexity of data. Allan Korol, a doctoral researcher at…
- Low-overhead and Non-invasive Electromagnetic Side-Channel Monitoring for Forensic-ready Industrial Control Systems — Buddhima Weerasinghe
In an era where cyberattacks on critical infrastructure are increasingly sophisticated and devastating, the need for robust, non-intrusive security monitoring in Industrial Control Systems (ICS) has…
- Towards Interpretable Topic Modelling as a Tool for Hypothesis-Driven Forensic Communication Analysis — Jenny Felser
In the rapidly evolving landscape of digital forensics, investigators face an ever-increasing deluge of data, particularly from mobile communication platforms. Jenny Felser, a doctoral researcher at…
- Understanding Strategies and Challenges of Timestamp Tampering for Improved Digital Forensic Event Reconstruction — Céline Vanini
In digital forensics, the temporal integrity of event data is paramount for accurate reconstruction. However, as demonstrated by high-profile cases like the World Anti-Doping Agency (WADA)…