DFRWS EU 2027 (Digital Forensics Conference Europe) is a CCF C conference held in Edinburgh, Scotland on 2027-03-30.
Topics of Interest
Digital Forensics Conference Europe (formally DFRWS EU) is open to fresh insights that challenge the current boundaries of digital forensics. The submissions can cover a broad range of topics related to digital forensics, including, but not limited to:
Anti-forensics and anti-anti-forensics
AI-assisted digital forensics
Case studies and trend reports
Cloud and virtualized environment forensics
Covert channels (e.g., TOR, VPN)
Cryptocurrency investigation
Development of digital forensic infrastructures
Digital evidence sharing and exchange
Digital evidence and the law
Digital forensic preparedness / readiness
Digital investigation case management
Digital forensic analysis of AI models
Digital forensic tool validation
Digital forensic triage / survey
Event reconstruction methods and tools
Forensics analysis and visualization of Big Data
Forensic analysis of anonymous networks
Forensic analysis of databases
Implanted medical devices
Incident response on malware and targeted attacks
Machine learning and data mining for digital evidence extraction/query
Memory acquisition and analysis
Methodology for digital forensic processes
Mobile and embedded device forensics
Multimedia (image, audio, video) data analysis
Network and distributed system forensics
Non-traditional forensic scenarios / contexts
SCADA / industrial control systems
Smart power grid forensics
Steganography and steganalysis
Smart building forensics
Vehicle forensics (e.g., drones, cars)
Visualization methods and tools for forensic analysis
Additionally, Digital Forensics Conference Europe is open to insights in multimedia forensics on interpretable evidence for attribution of media content to its origin, on investigative support for digital forensics, and/or on police investigative support. The submissions can cover a broad range of topics related to multimedia forensics, including, but not limited to:
Image/video/audio forensics and explainability
Biometrics and attribution (humans/machine)
Explainable machine learning in court
Use of interpretable AI in digital investigations
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