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Scenario-based Data Set Generation for Use in Digital Forensics: A Case Study

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dc.contributor.authorGöbel, Thomas
dc.contributor.authorBaier, Harald
dc.contributor.authorWolf, Dennis
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:24Z
dc.date.available2024-10-21T18:24:24Z
dc.date.issued2024
dc.description.abstractDigital forensics is a rapidly growing and highly relevant field of cybersecurity. In case of an incident, the subsequent digital forensic investigation and analysis shall reveal the respective digital evidence. However, although electronic devices and their data play a central role in each crime investigation, data sets to train experts or to validate tools are sparse. While manual data set generation is a time-consuming, elaborate and error-prone task, tool-based data synthesis is an excellent candidate for simplifying data generation and solving the data set gap problem. Synthetic data sets can be used, for example, to test and refine forensic tools and methods under controlled conditions. In addition, entirely new approaches can be explored. Several promising data synthesis frameworks for digital forensic data set creation have been published lately, the most recent of which is ForTrace, a freely available, community-driven data synthesis framework written in Python for generating digital forensic data sets. This paper shows how to apply ForTrace in a large-scale manner without human interaction. Our main goal is to show the usability of ForTrace and demonstrate its practicality and benefits for the digital forensic domain. We therefore provide a sample usage of ForTrace in two scenarios, namely a VeraCrypt and a malware use case, and present the definition of the corresponding configurations.en
dc.identifier.doi10.18420/inf2024_25
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45183
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectDigital forensic data set
dc.subjectDigital corpora
dc.subjectSynthetic data
dc.subjectGround truth data
dc.subjectLabeled data set
dc.subjectData set generation
dc.subjectData set creation
dc.subjectData synthesis framework
dc.subjectForTrace
dc.titleScenario-based Data Set Generation for Use in Digital Forensics: A Case Studyen
dc.typeText/Conference Paper
gi.citation.endPage370
gi.citation.publisherPlaceBonn
gi.citation.startPage355
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle4. International Workshop on Digital Forensics (IWDF4)

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