ChatGPT, Llama, can you write my report? An experiment on assisted digital forensics reports written using (local) large language models

  • Generative AIs, especially Large Language Models (LLMs) such as ChatGPT or Llama, have advanced significantly, positioning them as valuable tools for digital forensics. While initial studies have explored the potential of ChatGPT in the context of investigations, the question of to what extent LLMs can assist the forensic report writing process remains unresolved. To answer the question, this article first examines forensic reports with the goal of generalization (e.g., finding the ‘average structure’ of a report). We then evaluate the strengths and limitations of LLMs for generating the different parts of the forensic report using a case study. This work thus provides valuable insights into the automation of report writing, a critical facet of digital forensics investigations. We conclude that combined with thorough proofreading and corrections, LLMs may assist practitioners during the report writing process but at this point cannot replace them.

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Metadaten
Author:Gaëtan Michelet, Frank BreitingerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1175438
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117543
ISSN:2666-2817OPAC
Parent Title (English):Forensic Science International: Digital Investigation
Publisher:Elsevier BV
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/12/16
Volume:48
First Page:301683
DOI:https://doi.org/10.1016/j.fsidi.2023.301683
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Cybersicherheit
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoCC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)