DFRWS welcomes new perspectives that push the envelope of what is currently possible in digital forensics. Potential topics to be addressed by submissions include, but are not limited to:
Machine learning and data mining for digital evidence extraction/query
Social networking analysis and OSINT (Open Source Intelligence)
Malware and targeted attacks (analysis and attribution)
Forensics analysis and visualization of Big Data
Non-traditional forensic scenarios / contexts
Network and distributed system forensics
Mobile and embedded device forensics
Cloud and virtualized environments
Vehicle forensics (e.g., drones, cars)
SCADA / industrial control systems
Covert channels (e.g. TOR, VPN)
Implanted medical devices
Smart power grids
Smart buildings
Virtual currency
Digital forensic preparedness / readiness
Digital investigation case management
Digital evidence sharing and exchange
Digital forensic triage / survey
Digital forensic tool validation
Event reconstruction methods and tools
Digital evidence and the law
Case studies and trend reports
Anti-forensics and anti-anti-forensics