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DFRWS Events in 2022 - 2023

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DFRWS Europe 2022
United Kingdom | London
March 28, 2022

More Information On Their Events

The Digital Forensics Research Workshop Europe (DFRWS EU) is the European counterpart to the DFRWS conference series, which is a well-respected forum for digital forensics researchers and practitioners.

DFRWS EU is dedicated to the progress of digital forensics science by providing a forum for individuals to present unique, innovative research and exchange ideas with the community.

The conference includes a wide range of subjects, such as the development of digital forensics tools and techniques, methodology standardization, and the establishment of best practices.

To encourage active engagement and collaboration among guests, the program includes workshops, presentations, panel discussions, and a forensic challenge. The ultimate purpose of DFRWS EU, like its global counterparts, is to contribute to the progress of digital forensics in order to combat digital crime and cyber threats effectively and reliably.

DFRWS is open to fresh insights that challenge the current boundaries of digital forensics.

The Digital Forensic Research and Workspace System (DFRWS) welcomes novel ideas that push the limits of what is currently considered possible in digital forensics. The contributions can include a wide variety of subjects connected to digital forensics, including, but not limited to, the following areas of study:

  • 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 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

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