With the increase of digitalization and the pervasiveness of information systems, a crime scene is no longer what it used to be with its mix of a location, people, evidence, changes in time, and their virtual counterpart. Including the mainstream use of smart-homes, -infrastructure, -factories, or -cities, investigations and forensic evidence are no longer bound by physics. Evidence can be copied, transferred, and appear in corners of the world, where no-one was looking before. This workshop has the goal of firstly fostering novel, creative, and applied Ideas on how to extract data from information sources, analyze that data, and apply the outcome into a criminal investigation. A second goal is to form a community, interested in appalling their scientific results of computer science, data analytics, and machine learning to cyber forensics.

Topics of interest comprise, but are not limited to:

• eDiscovery
• Digital evidence search and seizure
• Legal aspect of digital investigations
• Automated Life forensics
• Data science in digital investigations
• Criminal profiling
• Machine Learning in digital investigations
• Cloud forensics
• Forensic evidence collection in Smart- Homes and IoT
• Further education concepts
• OS Artifacts
• Forensics in File Systems

Automated Extraction and Analysis of digital communications (text, pictures, video, audio)
We encourage blue-sky ideas or applications of known methods data sets or evaluation environments, modeling, or artificial Intelligence. All papers in English or German will be subject to blind peer review (single-blind) based on the standard criteria of relevance, the significance of results, originality of ideas, soundness, and quality of the presentation.