Visible to the public Visual Decision-Support for Live Digital Forensics

TitleVisual Decision-Support for Live Digital Forensics
Publication TypeConference Paper
Year of Publication2021
AuthorsBöhm, Fabian, Englbrecht, Ludwig, Friedl, Sabrina, Pernul, Günther
Conference Name2021 IEEE Symposium on Visualization for Cyber Security (VizSec)
Date Publishedoct
KeywordsApplied Computing, computer forensics, Conferences, Data visualization, decision making, digital forensics, expert systems, Human Behavior, human-centered computing, Intrusion Detection Systems, Metrics, privacy, Prototypes, pubcrawl, resilience, Resiliency, Scalability, security, Security and Privacy, Tools, visual analytics, visualization, Visualization systems and tools
Abstract

Performing a live digital forensics investigation on a running system is challenging due to the time pressure under which decisions have to be made. Newly proliferating and frequently applied types of malware (e.g., fileless malware) increase the need to conduct digital forensic investigations in real-time. In the course of these investigations, forensic experts are confronted with a wide range of different forensic tools. The decision, which of those are suitable for the current situation, is often based on the cyber forensics experts' experience. Currently, there is no reliable automated solution to support this decision-making. Therefore, we derive requirements for visually supporting the decision-making process for live forensic investigations and introduce a research prototype that provides visual guidance for cyber forensic experts during a live digital forensics investigation. Our prototype collects relevant core information for live digital forensics and provides visual representations for connections between occurring events, developments over time, and detailed information on specific events. To show the applicability of our approach, we analyze an exemplary use case using the prototype and demonstrate the support through our approach.

DOI10.1109/VizSec53666.2021.00012
Citation Keybohm_visual_2021